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Get Twitter Data into R
 
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Tutorial on how to download twitter data into R. Link to code below. Brackets aren't allowed in YouTube descriptions (which means I can't include the R code in here, link to code - http://storybydata.com/get-twitter-data-into-r-tutorial/
Views: 4163 Story by Data
Use Tableau to Analyze Twitter Data - #HAPPY
 
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Tutorial on using Tableau's web data connector to connect to Twitter. I am using Tableau version 10 for this walkthrough. 1. We go to connect, select More on Server, and select Web Data Connector 2. Enter the URL of the Twitter Web Data Connector and your desired search term – If you would like to build your own Twitter web data connector you can use instructions listed on TableauJunkie’s post – http://tableaujunkie.com/post/119681578798/creating-a-twitter-web-data-connector 3. Now let’s search for the word #happy just as an example 4. Hit “Update Now” 5. We can see that we were able to get several data columns into our view – we have a. The open text – or status text b. # of times it was retweeted c. User names, locations, d. And the date that it was tweeted 6. Alright, now let’s go ahead and take a look at the data a. Let’s place user status count, and time zone country into the view and create a map view to see where @happy was tweeted b. Let’s put time zone country on label and create a filled map c. It looks like the United States is the “happiest country” according to our simple analysis d. Now let’s create a continuous area chart that will show the number of tweets as of created time – with the level of detail on minutes this is showing us how many tweets used #happy in the past few minutes e. We can turn on the labels and user time zone country add to color
Views: 5705 Story by Data
Twitter Mining Extracting Tweets In R
 
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Twitter Mining A step by step guide to extracting tweets or twitter data from twitter ! Article on How to set up Twitter Mining Yourself: https://medium.com/@randerson112358/twitter-mining-with-r-6fef0dd97781 Please Subscribe ! ►Websites: http://everythingcomputerscience.com/ ►C-Programming Tutorial: https://www.udemy.com/c-programming-for-complete-beginners/learn/v4/overview ►Become a Patreot: https://www.patreon.com/randerson112358 ►PROGRAMMING BOOKS C-Programming - https://www.amazon.com/gp/product/0131103628/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0131103628&linkId=764c7627ffb13944091b2ad15fb5de90 Head First Java - https://www.amazon.com/gp/product/0596009208/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0596009208&linkId=58082f233879197beb1aeb73b03c1ed8 ►DISCRETE STRUCTURES/MATHEMATICS BOOKS Discrete Mathematics Workbook- https://www.amazon.com/gp/product/0130463272/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0130463272&linkId=83220d3b9eb58fb0566fa51c0e5b5571 Practice Problems in Discrete Mathematics -https://www.amazon.com/gp/product/0130458031/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0130458031&linkId=e6c98555ea0342d902afda0221a1a8fb ►ALGORITHMS BOOKS Algorithm Analysis - https://www.amazon.com/gp/product/0262033844/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0262033844&linkId=ba3b1d4075fbd043bb4596a0df9402e9
Views: 91 Computer Science
Sentiment Analysis in 4 Minutes
 
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Link to the full Kaggle tutorial w/ code: https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-1-for-beginners-bag-of-words Sentiment Analysis in 5 lines of code: http://blog.dato.com/sentiment-analysis-in-five-lines-of-python I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ The Stanford Natural Language Processing course: https://class.coursera.org/nlp/lecture Cool API for sentiment analysis: http://www.alchemyapi.com/products/alchemylanguage/sentiment-analysis I recently created a Patreon page. If you like my videos, feel free to help support my effort here!: https://www.patreon.com/user?ty=h&u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 99974 Siraj Raval
C# - Creating a Twitter project - pt 1
 
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For those of you who watch my videos and use Visual Basic: I haven't been able to find anything that works to building a twitter project in Visual Basic...only in C#. This will be a series of videos showing different functionalities we can use from our twitter account to our twitter account. In this video we will kick it off by grabbing our profile image, our name and our twitter handler (@Name) as well as publishing tweets to our twitter account.
Views: 2109 Networking26
How to use the Twitter API v1.1 with Python to stream tweets
 
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Part 1: http://youtu.be/pUUxmvvl2FE Part 2: http://youtu.be/d-Et9uD463A Part 3: http://youtu.be/AtqqVXZ365g In this video, you are shown how to use Twitter's API v1.1 to stream tweets using Python. Twitter's on-site documentation for their API is massive, but I found it to be a bit overboard for the simple task I wanted to achieve. If you have been having trouble figuring out how to stream twitter in python, this should help you. Sentdex.com Facebook.com/sentdex Twitter.com/sentdex Example code: http://sentdex.com/sentiment-analysisbig-data-and-python-tutorials-algorithmic-trading/how-to-use-the-twitter-api-1-1-to-stream-tweets-in-python/
Views: 153738 sentdex
Twitter Sentiment Analysis
 
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This tutorial shows how to conduct text sentiment analysis in R. We'll be pulling tweets from the Twitter web API, comparing each word to positive and negative word bank, and then using a basic algorithm to determine the overall sentiment. We'll then create several charts and graphs to organize the data. Updated code: http://silviaplanella.wordpress.com/2014/12/31/sentiment-analysis-twitter-and-r/ https://github.com/mjhea0/twitter-sentiment-analysis https://gist.github.com/mjhea0/5497065 TwitteR docs - http://cran.r-project.org/web/packages/twitteR/twitteR.pdf
Views: 64537 Michael Herman
R e Twitter - parte 2 - Conectando a partir do console e extraindo tweets
 
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Como conectar o R ao twitter a partir do console. Como extrair dados do twitter a partir do R utilizando o pacote twitteR. www.dadospensados.com
Views: 152 Dados Pensados
How US Colleges & Universities Use Twitter?
 
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This study employed data mining and quantitative methods to collect and analyze the available histories of primary Twitter accounts of institutions of higher education in the U.S. (n = 2411). The study comprises a sample of 5.7 million tweets, representing 62 % of all tweets created by these accounts and the entire population of U.S. colleges and universities. With this large, generalizable dataset, researchers were able to determine that the preponderance of institutional tweets are 1) monologic, 2) disseminate information (vs. eliciting action), 3) link to a relatively limited and insular ecosystem of web resources, and 4) express neutral or positive sentiment. While prior research suggests that social media can serve as a vehicle for institutions to extend their reach and further demonstrate their value to society, this article provides empirical and generalizable evidence to suggest that such innovation, in the context of institutional social media use, is limited. Download a the paper from the Innovation Higher Education here: https://link.springer.com/article/10.1007/s10755-016-9375-6 This video features the song Adventure, Darling by Gillicuddy (c) http://freemusicarchive.org/music/gillicuddy/Plays_Guitar_Again/01-adventure-darling available under a Creative Commons license.
Views: 469 Research Shorts
Social media data mining for counter-terrorism | Wassim Zoghlami | TEDxMünster
 
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Using public social media data from twitter and Facebook, actions and announcements of terrorists – in this case ISIS – can be monitored and even be predicted. With his project #DataShield Wassim shares his idea of having a tool to identify oncoming threats and attacks in order to protect people and to induce preventive actions. Wassim Zoghlami is a Tunisian Computer Engineering Senior focussing on Business Intelligence and ERP with a passion for data science, software life cycle and UX. Wassim is also an award winning serial entrepreneur working on startups in healthcare and prevention solutions in both Tunisia and The United States. During the past years Wassim has been working on different projects and campaigns about using data driven technology to help people working to uphold human rights and to promote civic engagement and culture across Tunisia and the MENA region. He is also the co-founder of the Tunisian Center for Civic Engagement, a strong advocate for open access to research, open data and open educational resources and one of the Global Shapers in Tunis. At TEDxMünster Wassim will talk about public social media data mining for counter-terrorism and his project idea DataShield. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 2115 TEDx Talks
Twitter #2 : Classification de tweets avec Sklearn
 
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Comment classer des profils Twitter selon leurs opinions politiques (Natural Language Processing)? C'est possible avec Tweepy et Sklearn. http://www.nilsschaetti.com/ - Le code sur GitHub : https://github.com/nschaetti/NS.ai/tree/master/Tweet-Classification - L'article sur mon site web : http://www.nilsschaetti.ch/2018/01/13/opinion-mining-twitter-users-sklearn/ - Le Twitter Application Management : https://apps.twitter.com/ - La documentation de Sklearn : http://scikit-learn.org/stable/documentation.html Si vous aimez mes vidéos, soutenez-moi : - Sur Tipeee : https://www.tipeee.com/ns-ai - Sur Patreon : https://www.patreon.com/nsai Interagis avec moi : ✔ Via GitHub : https://www.github.com/nschaetti ✔ Via Twitter : https://www.twitter.com/nschaetti ✔ Via Facebook : https://www.facebook.com/NSmlai/ ✔ Via Instagram : https://www.instagram.com/n.schaetti.public
Views: 221 The Swiss AI School
Make your own Twitter Bot with twitter4j API
 
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In this video, we discuss how to use the twitter4j API to write a program that can post tweets, retrieve tweets, and search for tweets on Twitter. In conjunction with our Chatbot Lab, one could make a functioning Twitter Bot! Our Files - http://bit.ly/MistaPotta-TwitterAPI Twitter4j jar - http://twitter4j.org/en/index.html Ria Galanos' Project - https://github.com/riagalanos/cs1-twitter
Views: 2560 mistapotta
Enterprise Connectors - Social Media Data Mining
 
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This is a replay of the webinar covering using the CData Enterprise Connectors for FireDAC to connect to Twitter and Facebook to mine social media data. The examples are in Delphi, but they could also easily be adaptable for C++Builder too.
Twitter Analytics with Power BI
 
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Import Twitter Data (Twitter Search) in Power BI! If you are a member of Curbal.com (it is free), you can download the file here: http://curbal.com/blog/discover-and-analyze-what-people-are-saying-in-twitter-about-your-company-with-power-bi Keynotes: Chris Koester Blog: 00:24 Create a Twitter API key 00:52 Import Twitter data into Power BI 03:18 Create a Parameters for Twitter Search 05:53 Create the first Twitter Report 08:01 Clean Twitter data with Power Query 08:20 Link to Chris' blog post: http://chris.koester.io/index.php/2015/07/16/get-data-from-twitter-api-with-power-query/ Looking for a download file? Go to our Download Center: https://curbal.com/donwload-center SUBSCRIBE to learn more about Power and Excel BI! https://www.youtube.com/channel/UCJ7UhloHSA4wAqPzyi6TOkw?sub_confirmation=1 Our PLAYLISTS: - Join our DAX Fridays! Series: https://goo.gl/FtUWUX - Power BI dashboards for beginners: https://goo.gl/9YzyDP - Power BI Tips & Tricks: https://goo.gl/H6kUbP - Power Bi and Google Analytics: https://goo.gl/ZNsY8l ABOUT CURBAL: Website: http://www.curbal.com Contact us: http://www.curbal.com/contact ▼▼▼▼▼▼▼▼▼▼ If you feel that any of the videos, downloads, blog posts that I have created have been useful to you and you want to help me keep on going, here you can do a small donation to support my work and keep the channel running: https://curbal.com/product/sponsor-me Many thanks in advance! ▲▲▲▲▲▲▲▲▲▲ QUESTIONS? COMMENTS? SUGGESTIONS? You’ll find me here: ► Twitter: @curbalen, @ruthpozuelo ► Google +: https://goo.gl/rvIBDP ► Facebook: https://goo.gl/bME2sB ► Linkedin: https://goo.gl/3VW6Ky
Views: 9447 Curbal
Basics of Social Network Analysis
 
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Basics of Social Network Analysis In this video Dr Nigel Williams explores the basics of Social Network Analysis (SNA): Why and how SNA can be used in Events Management Research. The freeware sound tune 'MFF - Intro - 160bpm' by Kenny Phoenix http://www.last.fm/music/Kenny+Phoenix was downloaded from Flash Kit http://www.flashkit.com/loops/Techno-Dance/Techno/MFF_-_In-Kenny_Ph-10412/index.php The video's content includes: Why Social Network Analysis (SNA)? Enables us to segment data based on user behavior. Understand natural groups that have formed: a. topics b. personal characteristics Understand who are the important people in these groups. Analysing Social Networks: Data Collection Methods: a. Surveys b. Interviews c. Observations Analysis: a. Computational analysis of matrices Relationships: A. is connected to B. SNA Introduction: [from] A. Directed Graph [to] B. e.g. Twitter replies and mentions A. Undirected Graph B. e.g. family relationships What is Social Network Analysis? Research technique that analyses the Social structure that emerges from the combination of relationships among members of a given population (Hampton & Wellman (1999); Paolillo (2001); Wellman (2001)). Social Network Analysis Basics: Node and Edge Node: “actor” or people on which relationships act Edge: relationship connecting nodes; can be directional Social Network Analysis Basics: Cohesive Sub-group Cohesive Sub-group: a. well-connected group, clique, or cluster, e.g. A, B, D, and E Social Network Analysis Basics: Key Metrics Centrality (group or individual measure): a. Number of direct connections that individuals have with others in the group (usually look at incoming connections only). b. Measure at the individual node or group level. Cohesion (group measure): a. Ease with which a network can connect. b. Aggregate measure of shortest path between each node pair at network level reflects average distance. Density (group measure): a. Robustness of the network. b. Number of connections that exist in the group out of 100% possible. Betweenness (individual measure): a. Shortest paths between each node pair that a node is on. b. Measure at the individual node level. Social Network Analysis Basics: Node Roles: Node Roles: Peripheral – below average centrality, e.g. C. Central connector – above average centrality, e.g. D. Broker – above average betweenness, e.g. E. References and Reading Hampton, K. N., and Wellman, B. (1999). Netville Online and Offline Observing and Surveying a Wired Suburb. American Behavioral Scientist, 43(3), pp. 475-492. Smith, M. A. (2014, May). Identifying and shifting social media network patterns with NodeXL. In Collaboration Technologies and Systems (CTS), 2014 International Conference on IEEE, pp. 3-8. Smith, M., Rainie, L., Shneiderman, B., and Himelboim, I. (2014). Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters. Pew Research Internet Project.
Views: 38100 Alexandra Ott
Sentiment Analysis of Twitter Data | Final Year Projects 2016
 
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Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 6754 Clickmyproject
TBCITA - Human Data Mining...Stolen Identities
 
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*IMPORTANT NOTE(S)*: 1. The lady who lives in my complex who told me she went out of town for a week, not only said some1 came in BUT there was black stuff on 2 of her walls, one of which was her closet wall and the other side was to a bathroom. 2. I just found out the minimum donation to a Go Fund Me account is $5.00...Sorry, y'all! The reason *WHY* you have bad credit, can't get a job, etc., can probably be attributed to cameras/bluetooth devices hidden in your home and either you're totally unaware they're even there *OR* you disregard your identity is easily stolen because of these devices. Electronic/gang/group stalking is *THE PERFECT CRIME*, as a victim can be: virtually raped, molested as pedophiles continuously have access to watch your children take baths, you change their diapers, etc., things/items of importance can be stolen, yet your door was locked when you came home and also, your identity can be stolen. Leave your purse sitting on a chair or something and you're a goner for future crime(s), because your wallet *IS STILL THERE*! Click to find out just how your identity can be stolen in a matter of minutes, just by you leaving your home, yet you don't find out for days, months and even years (when it's too late) that "THAT INCIDENT" is the reason WHY you can't get a bank account, home, job, etc. While listening, please *JOIN MY YOUTUBE CHANNEL* to be the first to get new video uploads and guess what? There's over 150 uploaded now and all *ARE NOT* about TBCITA. Although I'm a victim of this crime, I DO VIDS ON A VARIETY OF TOPICS*, so, *JOIN TO LEARN* something you probably didn't know or was only partially aware of! *THANKS in advance* CLICK THE LINK BELOW TO GET YOUR *FREE* ANNUAL CREDIT REPORT FROM ALL 3 MAJOR CREDITS BUREAUS. YOU ARE ENTITLED TO YOUR REPORTS ANNUALLY, PER THE FEDERAL GOVERNMENT and THIS IS THE ONLY WEBSITE APPROVED BY THE FEDERAL GOVERNMENT! To protect your identity, be sure to clear your cache/cookies from the computer/mobile device you're going to use, FIRST: https://www.annualcreditreport.com/ ********************* *BUSINESS CONTACT INFORMATION* *Telephone:* (817) 458-0788 - If no answer, please leave a message, including your telephone number with the area code *Business E-mail:* [email protected] (business/correspondence only) *Donations:* https://gofundme.com/KimMeWyatt *THANKS in advance!* *I'M HERE TOO* *Google +:* https://plus.google.com/+KimMeWyatt (Including the most current pics) *REAL Romance and Relationships:* https://plus.google.com/communities/100995628061395644261 *REAL Black Berries:* https://plus.google.com/communities/109857404922363980433 *Sexy Clothes:* https://plus.google.com/+SexyResale *Twitter:* https://Twitter.com/KimMeWyatt
Views: 17 KimMe Wyatt
What is Data Mining? Explain Data Mining? [Hindi]
 
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SUBSCRIBE TO MY CHANNEL ►► https://www.youtube.com/c/ganeshbagaria BOOK ON DATA MINING ►► https://goo.gl/59xvuS Welcome to this video, In this video I will tell you about the Data Mining, about those marketing techniques and more. WHAT FULL PLAYLIST ► https://www.youtube.com/playlist?list=PLd43cTxFZWldk2PtkrW12WTH1eoyyi98P GAMING WITH ME ► http://bit.ly/ganofins MY BOOKS ►► MySQL for Beginners ► http://bit.ly/MySQLforBeginners HTML for Beginners ► http://bit.ly/HTMLforBeginners SECRET TOOL FOR YOUR CHANNEL'S GROWTH ► https://www.tubebuddy.com/ganofins SHOP USING THIS LINK TO SUPPORT THE CHANNEL ► http://www.amazon.com/?tag=ganofins-21 CONNECT WITH ME ►► Twitter ► https://twitter.com/ganofins Facebook ► https://facebook.com/ganofins Instagram ► https://instagram.com/ganofins Tumblr ► http://ganofins.tumblr.com GAMING WITH ME ► http://bit.ly/ganofins SUBSCRIBE TO MY CHANNEL ►► https://www.youtube.com/c/ganeshbagaria ||THANKS FOR WATCHING||
Mining data on Facebook with Python: 2 - Mining our Facebook posts with Python
 
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After setting up our app on Facebook and after getting it to communicate with facebook-sdk we will now start to download our own posts. ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: http://bit.ly/2otJDwn ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ------ Channel link: https://goo.gl/nVWDos Subscribe here: https://goo.gl/gMdGUE Link to playlist: https://goo.gl/WIHiEy ---- Join my Facebook Group to stay connected: http://bit.ly/2lZ3FC5 Like my Facebbok Page for updates: https://www.facebook.com/tigerstylecodeacademy/ Follow me on Twitter: https://twitter.com/sukhsingh Profile on LinkedIn: https://www.linkedin.com/in/singhsukh/ ---- Schedule: New educational videos every week ----- ----- Source Code for tutorials on Youtube: http://bit.ly/2nSQSAT ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh ----- Learn Something New: ------ Learn Something New: http://bit.ly/2zSkzGh
Views: 3269 Sukhvinder Singh
How to Do Sentiment Analysis - Intro to Deep Learning #3
 
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In this video, we'll use machine learning to help classify emotions! The example we'll use is classifying a movie review as either positive or negative via TF Learn in 20 lines of Python. Coding Challenge for this video: https://github.com/llSourcell/How_to_do_Sentiment_Analysis Ludo's winning code: https://github.com/ludobouan/pure-numpy-feedfowardNN See Jie Xun's runner up code: https://github.com/jiexunsee/Neural-Network-with-Python Tutorial on setting up an AMI using AWS: http://www.bitfusion.io/2016/05/09/easy-tensorflow-model-training-aws/ More learning resources: http://deeplearning.net/tutorial/lstm.html https://www.quora.com/How-is-deep-learning-used-in-sentiment-analysis https://gab41.lab41.org/deep-learning-sentiment-one-character-at-a-t-i-m-e-6cd96e4f780d#.nme2qmtll http://k8si.github.io/2016/01/28/lstm-networks-for-sentiment-analysis-on-tweets.html https://www.kaggle.com/c/word2vec-nlp-tutorial Please Subscribe! And like. And comment. That's what keeps me going. Join us in our Slack channel: wizards.herokuapp.com If you're wondering, I used style transfer via machine learning to add the fire effect to myself during the rap part. Please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 143378 Siraj Raval
Extract Facebook Data and save as CSV
 
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Extract data from the Facebook Graph API using the facepager tool. Much easier for those of us who struggle with API keys ;) . Blog Post: http://davidsherlock.co.uk/using-facepager-find-comments-facebook-page-posts/
Views: 203978 David Sherlock
Build Twitter with REST API and JSON (Search and Fetch New Tweets from Twitter)
 
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FREE DOWNLOAD: https://ductran.co/p/twitter-client In this episode, you will learn how to use a custom Twitter framework to search for new tweets from any user, hashtag or keywords. Along the way, you are going to learn how to structure your data model so your app will adapt with new data coming in real time. First off, let's download the starter project Duc prepared for you. Just simply enter your name and email on the page to get: + the starter and complete projects of this episode + Duc's step-by-step video tutorial + Duc's new training on How to Build Nike E-commerce Store WITHOUT Losing Your Shirt It's all awesome iOS development training for you, for FREE! FREE DOWNLOAD: https://ductran.co/p/twitter-client ********* ABOUT CODE MASTERY ********* Code Mastery is hosted by Duc Tran, founder of Developers Academy. This is his free-style no notes, no teleprompter presentation and live coding broadcast with you guys everyday. To join Duc's free courses, register for free at http://ductran.co/ ********* MEET DUC TRAN ********* Duc Tran is founder of Developers Academy, one of the world's leading iOS, Android and Web development trainers. More than 2,000,000 developers have studied his video trainings; 100,000 developers see his posts each month. Each year, Duc has helped 20,000 plus developers graduate from his online courses or video series. ********* FREE TRAININGS IN IOS DEVELOPMENT ********* To subscribe and get free tutorials, courses and weekly content, visit me at: http://ductran.co/ Connect with Duc on facebook: http://facebook.com/ductranfan Tweet him: https://twitter.com/ductrongtran Get daily inspiration: http://instagram.com/ductran.co/ ********* SOURCE CODE IN THIS COURSE ********* NetworkProcessor.swift class NetworkProcessor { lazy var configuration: URLSessionConfiguration = URLSessionConfiguration.default lazy var session: URLSession = URLSession(configuration: self.configuration) let url: URL init(url: URL) { self.url = url } typealias JSONDictionaryHandler = (([String : Any]?) - Void) func downloadJSONFromURL(_ completion: @escaping JSONDictionaryHandler) { let request = URLRequest(url: self.url) let dataTask = session.dataTask(with: request) { (data, response, error) in if error == nil { if let httpResponse = response as? HTTPURLResponse { switch httpResponse.statusCode { case 200: // successful response if let data = data { do { let jsonDictionary = try JSONSerialization.jsonObject(with: data, options: .mutableContainers) completion(jsonDictionary as? [String : Any]) } catch let error as NSError { print("Error processing json data: \(error.localizedDescription)") } } default: print("HTTP Reponse Code: \(httpResponse.statusCode)") } } } else { print("Error: \(error?.localizedDescription)") } } dataTask.resume() } } Full access to source code: https://ductran.co/p/weather-rest-api Episode tags: duc tran, ductran.co, developers academy, REST, REST API, REST API in ios tutorial, ios REST API, how to parse json, parse json in ios, parse json, parse json swift, parse json swift tutorial, parse json in Swift, alamofire, alamofire tutorial, uicollectionview, json ios, ios json parsing, ios json, ios json tutorial, json swift tutorial, swift json tutorial, parse json in ios,swiftyjson, nsurlsession, urlsession, firebase, alamofire, alamofire tutorial, alamofire swift tutorial
Views: 7623 David Tran
Data Mining Lecture - - Finding frequent item sets | Apriori Algorithm | Solved Example (Eng-Hindi)
 
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In this video Apriori algorithm is explained in easy way in data mining Thank you for watching share with your friends Follow on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy data mining in hindi, Finding frequent item sets, data mining, data mining algorithms in hindi, data mining lecture, data mining tools, data mining tutorial,
Views: 210247 Well Academy
Whatsapp chat sentiment analysis in R | Sudharsan
 
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Whatsapp Chat Sentiment analysis using R programming! Subscribe to my channel for new and cool tutorials. You can also reach out to me on twitter: https://twitter.com/sudharsan1396 Code for this video: https://github.com/sudharsan13296/Whatsapp-analytics
How to import tweets from twitter
 
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It will take seconds to accomplish the said task. 1. First and foremost thing that you need to do is download the tool known as "The Archivist". Download link: - http://visitmix.com/labs/archivist-desktop/install/setup.exe 2. In real term an archivist is a professional who assesses, collects, organizes, preserves, maintains control over, and provides access to information determined to have long-term value. The information maintained by an archivist can be any form of media (photographs, video or sound recordings, letters, documents, electronic records, etc.). 3. Here archivist is a Twitter Search Archive Tool, this tool uses a concept of data mining, and in this case the data would be extracted from twitter. 4. Run the setup and Install the archivist tool. 5. Once you had installed it, open the application than click on the button Get Latest. 6. A simple click of "Export to Excel" and you have a .TXT file you can open in Excel and play around with till your heart's content!!
Views: 1595 Abhishek Shah
Process Streaming Data from the Twitter using Teknek and Cassandra
 
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In this video we extract URL's from the twitter status and count them 'rainbird style' using Cassandras counters. A rather cool look at how you can quickly pipeline operators in teknek.
Views: 364 Eddie C
Text Mining - Using OAuth with Rapidminer
 
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Walks through how to connect to Twitter over OAuth and fetch live FIFA feeds based on a query term using Search API from Twitter with rapidminer.
Views: 2620 Sean c
Data mining: opening students' personal data up to private corporations?
 
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Starting next year, the personal information of New York students will be stored in an online database created by the non-profit organization inBloom. Schools across the country are using the technology to help track students' academic progress and it's largely funded with money from the Bill and Melinda Gates Foundation. However, parents and privacy advocates across the country say that the student's data could be at risk. Kade Crockford, director of the Technology for Liberty program with the American Civil Liberties Union's Massachusetts branch, joins us to discuss if parents should be concerned or not with the emerging practice. Find RT America in your area: http://rt.com/where-to-watch/ Or watch us online: http://rt.com/on-air/rt-america-air/ Like us on Facebook http://www.facebook.com/RTAmerica Follow us on Twitter http://twitter.com/RT_America
Views: 2077 RT America
Intro to Data Analysis / Visualization with Python, Matplotlib and Pandas | Matplotlib Tutorial
 
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Python data analysis / data science tutorial. Let’s go! For more videos like this, I’d recommend my course here: https://www.csdojo.io/moredata Sample data and sample code: https://www.csdojo.io/data My explanation about Jupyter Notebook and Anaconda: https://bit.ly/2JAtjF8 Also, keep in touch on Twitter: https://twitter.com/ykdojo And Facebook: https://www.facebook.com/entercsdojo Outline - check the comment section for a clickable version: 0:37: Why data visualization? 1:05: Why Python? 1:39: Why Matplotlib? 2:23: Installing Jupyter through Anaconda 3:20: Launching Jupyter 3:41: DEMO begins: create a folder and download data 4:27: Create a new Jupyter Notebook file 5:09: Importing libraries 6:04: Simple examples of how to use Matplotlib / Pyplot 7:21: Plotting multiple lines 8:46: Importing data from a CSV file 10:46: Plotting data you’ve imported 13:19: Using a third argument in the plot() function 13:42: A real analysis with a real data set - loading data 14:49: Isolating the data for the U.S. and China 16:29: Plotting US and China’s population growth 18:22: Comparing relative growths instead of the absolute amount 21:21: About how to get more videos like this - it’s at https://www.csdojo.io/moredata
Views: 230897 CS Dojo
Programming 7: Using Twitter API in Processing
 
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Video for introduction to real-time interactive graphical programming, using the free Processing development environment. This reflects information covered in the lab sessions for LMC 6310, Computing as an Expressive Medium, a course in the Digital Media master's program at Georgia Tech.
Views: 5663 GATechDM Courses
K-Means Clustering Algorithm - Cluster Analysis | Machine Learning Algorithm | Data Science |Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) This Edureka k-means clustering algorithm tutorial video (Data Science Blog Series: https://goo.gl/6ojfAa) will take you through the machine learning introduction, cluster analysis, types of clustering algorithms, k-means clustering, how it works along with an example/ demo in R. This Data Science with R tutorial video is ideal for beginners to learn how k-means clustering work. You can also read the blog here: https://goo.gl/QM8on4 Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #kmeans #clusteranalysis #clustering #datascience #machinelearning How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "
Views: 66263 edureka!
Loop Operator in Rapidminer for processing Twitter Feeds
 
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Text Mining with Twitter
Views: 1819 Sean c
data mining fp growth | data mining fp growth algorithm | data mining fp tree example | fp growth
 
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In this video FP growth algorithm is explained in easy way in data mining Thank you for watching share with your friends Follow on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy data mining algorithms in hindi, data mining in hindi, data mining lecture, data mining tools, data mining tutorial, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining fp growth, data mining fp growth algorithm, data mining fp tree example, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining, fp growth algorithm, fp growth algorithm example, fp growth algorithm in data mining, fp growth algorithm in data mining example, fp growth algorithm in data mining examples ppt, fp growth algorithm in data mining in hindi, fp growth algorithm in r, fp growth english, fp growth example, fp growth example in data mining, fp growth frequent itemset, fp growth in data mining, fp growth step by step, fp growth tree
Views: 133217 Well Academy
Tweepy: a Python Library for the Twitter API
 
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Tweepy is a Python library for accessing the Twitter API. It is great for simple automation and creating twitter bots. Tweepy has many features. In this tutorial we will be covering: Get tweets from our timeline. Creating and deleting Tweets. Follow and unfollow users. For more info check out my blog post: https://medium.com/@mr_rigden/tweept-a-python-library-for-the-twitter-api-9d0537dcebd4
Views: 1336 Jason Rigden
The Ultimate Introduction to Web Scraping and Browser Automation
 
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Whenever you need to import data from an external website, hopefully they provide an API and make your life easy. But in the real world, that's not always the case. There are numerous reasons why you might want to get data from a web page or multiple web pages, and there's no API in sight, and in that case you're going to need to fall back onto Web Scraping and Browser Automation. In this screencast I'm going to give a high level overview of how to scrape websites, then cover five different scenarios, in increasing difficulty, for practical web scraping. There is a massive amount of information in this screencast and I'm going to straight up bombard you with it, but if you can make it until the end I guarantee you will come out knowing how to scrape websites with the best of them. As always, you can hit me up on twitter @AlwaysBCoding with questions, comments, to argue about programming, or to drop a suggestion for which topics I should cover next.
Views: 158522 Decypher Media
Come usare l'API di Twitter con Python (Python + Twitter | Italiano)
 
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►Vuoi altri video su Python? ►Iscriviti al Canale QUI: https://www.youtube.com/c/PyMike?sub_confirmation=1 ............................................................................................................ Iscriviti ai miei corsi su Udemy! ►Guida Pratica e Completa a Django 2, Python 3 e Bootstrap 4 Impara a programmare e a costruire Siti Web professionali con Python, Django, Bootstrap, HTML e CSS! ►https://bit.ly/2FsiHu3 ►Guida per Sviluppatori a Django REST Framework e Vue.JS Impara a creare REST API professionali e moderne Single Page Applications con Python, Django REST Framework e Vue JS ►https://bit.ly/2Qs0Tzt ............................................................................................................ ►Sito Ufficiale: https://programmareinpython.it ►Telegram: https://t.me/programmareinpython ►Facebook: https://www.facebook.com/programmareinpython.it ►Instagram: https://www.instagram.com/programmareinpython.it ►Twitter: https://www.twitter.com/pymike00 ►GitHub: https://www.github.com/pymike00 ►NewsLetter: http://bit.ly/2ywWCCh ............................................................................................................ ►Canale Internazionale: https://www.youtube.com/channel/UCxPWtz5N--X3IyYJ13Zr99A?sub_confirmation=1 ............................................................................................................ Nella nostra società, imparare a programmare è fondamentale per restare al passo coi tempi e accrescere le opportunità che la vita ha da offrirci... ma questo forse già lo sapevi! ♦ Perché proprio Python? Perché pochi linguaggi possono offrirti la potenza e la semplicità che puó offrirti Python. E tra questi ce n'è ancora meno in grado di fare ció con le performance e il supporto della comunità di Python. Che tu sia nuovo alla programmazione o un fanatico veterano, Python è un linguaggio che dovresti conoscere! ►Sito Ufficiale: https://www.programmareinpython.it ............................................................................................................
Views: 1103 PyMike
Twitter to stop working with US intel. agencies on real-time data-mining
 
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NEW YORK — Twitter has barred U.S. intelligence agencies from accessing Dataminr, a service that relies on Twitter feeds to identify and alert its users in real-time of significant events such as unfolding terror attacks, the Wall Street Journal reports. Dataminr’s software scours through 500 million tweets per day. The tweets are classified and analysed based on various factors such as geo-location, topic relevancy, user interests and information value before they are filtered by real-time situational awareness and historical comparison to determine whether a specific tweet is credible and actionable. The information is then delivered to the user by web browser, instant messenger, email or mobile phone app. Dataminr has a map-based dashboard that allows users to see clearly the location of a significant event is happening in real time. “If Twitter continues to sell this [data] to the private sector, but denies the government, that’s hypocritical,” John C. Inglis, a former deputy director of the National Security Agency told the Wall street Journal. “I think it’s a bad sign of a lack of appropriate cooperation between a private-sector organization and the government.” Dataminr sent out alerts to its client about the Brussels attacks in March 10 minutes before the media coverage. In addition,it has sent out real-time alerts on ISIS attacks on the Libya oil sector, the Brazilian political crisis, the Kalamazoo shooting and other breaking events. ----------------------------------------­--------------------- Welcome to TomoNews, where we animate the most entertaining news on the internets. Come here for an animated look at viral headlines, US news, celebrity gossip, salacious scandals, dumb criminals and much more! Subscribe now for daily news animations that will knock your socks off. Visit our official website for all the latest, uncensored videos: http://us.tomonews.com Check out our Android app: http://bit.ly/1rddhCj Check out our iOS app: http://bit.ly/1gO3z1f Get top stories delivered to your inbox everyday: http://bit.ly/tomo-newsletter See a story that should be animated? Tell us about it! Suggest a story here: http://bit.ly/suggest-tomonews Stay connected with us here: Facebook http://www.facebook.com/TomoNewsUS Twitter @tomonewsus http://www.twitter.com/TomoNewsUS Google+ http://plus.google.com/+TomoNewsUS/ Instagram @tomonewsus http://instagram.com/tomonewsus
Data Mining & Business Intelligence | Tutorial #22 | BIRCH
 
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Order my books at 👉 http://www.tek97.com/ #RanjiRaj #DataMining #BIRCH Follow me on Instagram 👉 https://www.instagram.com/reng_army/ Visit my Profile 👉 https://www.linkedin.com/in/reng99/ Support my work on Patreon 👉 https://www.patreon.com/ranjiraj BIRCH is a technique used for clustering in data mining sets for scalable clusters. Watch now! BIRCH هي تقنية تستخدم لتجميع مجموعات بيانات التعدين للمجموعات القابلة للتوسع. شاهد الآن ! BIRCH é uma técnica usada para cluster em conjuntos de mineração de dados para clusters escalonáveis. Assista agora ! BIRCH - это метод, используемый для кластеризации в наборах интеллектуального анализа данных для масштабируемых кластеров. Смотри ! BIRCH ist eine Technik, die zum Clustering in Data Mining-Sets für skalierbare Cluster verwendet wird. Schau jetzt ! BIRCH est une technique utilisée pour la mise en cluster dans des ensembles d'exploration de données pour des clusters évolutifs. Regarde maintenant ! ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ Add me on Facebook 👉https://www.facebook.com/renji.nair.09 Follow me on Twitter👉https://twitter.com/iamRanjiRaj Read my Story👉https://www.linkedin.com/pulse/engineering-my-quadrennial-trek-ranji-raj-nair Visit my Profile👉https://www.linkedin.com/in/reng99/ Like TheStudyBeast on Facebook👉https://www.facebook.com/thestudybeast/ ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ For more such videos LIKE SHARE SUBSCRIBE Iphone 6s : http://amzn.to/2eyU8zi Gorilla Pod : http://amzn.to/2gAdVPq White Board : http://amzn.to/2euGJ7F Duster : http://amzn.to/2ev0qvX Feltip Markers : http://amzn.to/2eutbZC
Views: 1990 Ranji Raj
Mozenda - Data Mining - Web Crawler - LeadGenExample
 
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http://www.twitter.com/jbmcclelland Justin McClelland (http://www.justinmcclelland.com), provides various how-to demonstrations and example applications of the Mozenda software (http://www.getmozenda.com ). The Mozenda, Software as a Service (SaaS), platform is ideal for performing comprehensive web data gathering (a.k.a web data extraction, screen scraping, web crawling, web harvesting, etc.) Follow Me on Twitter: http://www.twitter.com/JBMcClelland
Views: 4222 Justin McClelland
Tweetinvi Tutorial - Introduction to Twitter in C#
 
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This video is an introduction and tutorial to the Tweetinvi library. It gives you some answers for : * What is Tweetinvi? * How to install Tweetinvi. * How to authenticate a user on Twitter. * How to publish a Tweet. * How to retrieve the tweets from a specific user's Timeline. You can find more about tweetinvi at : https://github.com/linvi/tweetinvi If you encounter any problem with the library or the video please open an issue on https://github.com/linvi/tweetinvi/issues.
Views: 11407 Linvi
Move Over Facial Recognition Tech, They’re Now DATA-MINING Directly From Our BRAINS!!
 
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DONATE ➜ https://www.paypal.me/PressforTruth PATREON ➜ https://www.patreon.com/PressForTruth SUPPORT INDEPENDENT MEDIA ➜ https://pressfortruth.ca/donate SUBSCRIBESTAR ➜ https://www.subscribestar.com/pressfortruth Facial Recognition technology is ancient when compared to what they’re doing in China! China is deploying emotional surveillance technology that mines data from the minds of its citizens and these light-weight sensory helmets have been rolled out on an industrial scale. In this video Dan Dicks of Press For Truth goes over the latest Orwellian news as China is now data-mining info directly from the brains of workers in order to “increase productivity”. Sources: https://qz.com/1493149/taylor-swift-used-facial-recognition-to-track-her-stalkers-at-a-concert/?utm_source=reddit.com https://www.theverge.com/2018/12/12/18137984/taylor-swift-facial-recognition-tech-concert-attendees-stalkers https://www.theverge.com/2018/5/7/17329196/ticketmaster-facial-recognition-tickets-investment-blink-identity https://www.thesun.co.uk/news/7982996/police-target-christmas-shoppers-with-big-brother-facial-recognition-technology/ https://www.marketwatch.com/story/amazons-strategy-for-catching-porch-pirates-with-facial-recognition-could-also-curb-civil-liberties-critics-say-2018-12-14 https://www.cnet.com/news/amazons-ring-takes-heat-for-considering-facial-recognition-for-its-video-doorbells/ https://www.youtube.com/watch?v=TELWj6-kPug https://www.zerohedge.com/news/2018-12-12/china-now-data-mining-directly-brains-workers https://www.youtube.com/watch?v=8Kv4Uk3F4Lo https://pressfortruth.ca/donate Support independent media: Patreon ➜ http://www.patreon.com/PressForTruth Patreon Alternative ➜ https://pressfortruth.ca/donate Paypal ➜ https://www.paypal.me/PressforTruth Cryptocurrencies: Bitcoin ➜ 13oNiHUNGn9vdfv7MT5kjwe7np9bwf5ccv Ethereum ➜ 0xEce2AEf1F26373a00BDC7243d1201a98578CC67e Bitcoin Cash ➜ 1MxgFpQdMujLYRTkSTw4PGDmL99s83PFKR Dash ➜ XirLdVdyaW9rXvhKic78ruc2X39HjNhdTV EOS ➜ 0x2BBB00605730feA136623CA366979705293DA659 Litecoin ➜ LVVaVCfNN25AuU1Ex2s4tX2Ze3iCig2kRo Donate Other Cryptocurrencies ➜ https://pressfortruth.ca/top-stories/donate-cryptocurrencies/ Follow Dan Dicks: FACEBOOK ➜ http://www.facebook.com/PressForTruth INSTAGRAM ➜ http://instagram.com/dandickspft TWITTER ➜ http://twitter.com/#!/DanDicksPFT ➜ https://twitter.com/PressForTruth STEEMIT ➜ https://steemit.com/@pressfortruth DTUBE ➜ https://d.tube/#!/c/pressfortruth MINDS ➜ https://www.minds.com/pressfortruth BITCHUTE ➜ https://www.bitchute.com/pressfortruth/ BITTUBE ➜ https://bit.tube/PressForTruth GAB ➜ https://gab.ai/PressForTruth MEWE ➜ https://mewe.com/join/pressfortruth Support PFT by donating ➜ https://pressfortruth.ca/donate Rock some PFT Gear ➜ http://pressfortruth.ca/shop Planning on Attending Anarchapulco? Save 15% off your tickets when you use promo code "PFT" https://anarchapulco.com/buy-your-tickets/ Planning on Attending Anarchafarko? Save 15% off your tickets when you use promo code "PFT" https://anarchaforko.com/?ref=18&campaign=PFT Check out our sponsors: One World Digital Solutions: http://www.oneworlddigitalsolutions.ca/ Get your digital content box and save $50 with promo code "PFT" http://www.oneworlddigitalsolutions.ca/ AND Liberty Farms: https://www.instagram.com/libertyfarms/ Visit them in Squamish or online by going here: http://www.grassrootsmedicinal.ca/ https://pressfortruth.ca/register
Views: 10172 Press For Truth
MAX MSP/ PROCESSING: Parsing data from Twitter, passing it with OSC
 
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Some of our most popular programs are now available over on the website: https://www.programmingforpeople.com/shop Today we are playing about with the fantastic Twitter4J library (in Processing), OSC and maxmsp. To begin with we access the twitter API using processing. Then move on to include OSC parameter passing to collect and return data to MaxMSP. A nice little project that anyone with some processing experience will be able to do! twitter4j: http://twitter4j.org Twitter tutorial processing: https://www.youtube.com/watch?v=gwS6irtGK-c on http://instagram.com/Mich_Mckellar on https://twitter.com/Mich_Mckellar email: [email protected] Look for more max help? Come and join us: https://www.facebook.com/groups/2209224391/?fref=nf
Advanced Data Mining with Weka (1.5: Lag creation, and overlay data)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 5: Lag creation, and overlay data http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/JyCK84 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2656 WekaMOOC
Jonathan Ronen - Social Networks and Protest Participation: Evidence from 130 Million Twitter Users
 
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Description Data mining social networks for evidence of political participation. A demonstration of python being used to data mine the twitter conversations around the #JeSuisCharlie hashtag, and analyzing it to learn about real world protest behavior. Abstract Pinning down the role of social ties in the decision to protest has been notoriously elusive, largely due to data limitations. The era of social media and its global use by protesters offers an unprecedented opportunity to observe real-time social ties and online behavior, though often without an attendant measure of real-world behavior. We collect data on Twitter activity during the 2015 Charlie Hebdo protest in Paris which, unusually, record real-world protest attendance and high-resolution network structure. We draw on a theory of participation in which protest decisions depend on exposure to others' intentions, and network position determines exposure. Our findings are strong and consistent with this theory, showing that, relative to comparable Twitter users, protesters are significantly more connected to one another via direct, indirect, triadic, and reciprocated ties. These results offer the first large-scale empirical support for the claim that social network structure has consequences for protest participation. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 321 PyData
Using the Twitter Stream API with Max/MSP and Python
 
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In this video we see how to access the real-time stream of twits filtered according to keywords. You can download the patch and the scripts from my Patreon (for free) here: https://www.patreon.com/posts/19061605 You will find the summarized steps inside the "instructions.txt" file in the download folder. You can support me on Patreon to get access to a vast amount of Max patches (mostly for the visuals using 3D graphics with Jitter) and you'll contribute to the production of my tutorials : ) Get in touch with me on my FB page: https://www.facebook.com/Federico-Foderaro-Amazing-Max-Stuff-185345661820182/
Views: 1009 Amazing Max Stuff
Facebook Comments & Twitter Tweets - Searching for Keywords
 
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Ever wanted to do some sort of data mining on tweets or facebook comments? Here's your chance with Power Pivot! use the DAX function SEARCH to look through comments for some specific keywords. Follow me on Twitter: https://twitter.com/EscobarMiguel90 Sponsor: http://www.poweredsolutions.co
Views: 2164 The Power User
C* Summit 2013: Dude, Where's My Tweet? Taming the Twitter Firehose
 
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Speaker: Andrew Noonan, Developer at Gnip Slides: http://www.slideshare.net/planetcassandra/c-summit-2013-dude-wheres-my-tweet-taming-the-twitter-firehose-by-andrew-noonan Gnip ingests and must serve out hundreds of millions of social activities every day and social platforms are only growing. This makes the scalability of applications essential for Gnip. Enter Cassandra. Problem solved, right? Not exactly, Gnip's relationship with Cassandra was not all rainbows and unicorns. In this session we will walk you through why we began looking at Cassandra as a data store in the first place and the valuable lessons we with Cassandra that has made it an invaluable part of our infrastructure.
Views: 199 PlanetCassandra
Data Science Tutorial | Data Science Trainign | Understanding Data science
 
01:40:35
In this session presented by a Data scientist, he covers data science from the basics. The key topics covered in this webinar are: a) What is Data science b) Data mining/Analytics Vs Data Science c) Data Science Projects Framework d) Popular techniques To know more about Data Science course with R (http://bit.ly/2yvsgR5) and Big data analytics course (http://bit.ly/2AziAFY). Techcanvass is a software development and training organization. We provide IT certifications training for mid-level professionals. We specialize in the following areas: a) Selenium v3.0 training (CP-SAT and Techcanvass Certification) b) IIBA Business Analysis certifications (all levels) c) Certified Agile Business Analyst Training d) Data Science Training ( R, Python and Big Data) Website: http://techcanvass.com Facebook Page: https://www.facebbook.com/Techcanvass Twitter Handle: @techcanvass
Views: 304 Techcanvass
How to Download Twitter History Archive
 
03:26
This video walks you through how to request, download, and search your Twitter history archive. See more videos by Max here: https://www.youtube.com/c/MaxDalton Video Transcript: Twitter is a great platform for reaching people and getting information out there. However, searching through old tweets for something you sent out can be a nightmare, as there is no good way to see or search your archive of tweets on any of the platforms you can access Twitter through. The best way to see all of your tweets in one place where you can easily search them is to download your Twitter archive. Twitter includes an HTML interface with your archive that lets you easily search your entire history of tweets offline. Finally, it's important to note that you can only request and download your Twitter archive through the desktop version of Twitter's website, and you can't request or download your Twitter archive through the Twitter mobile app. And now, let's walk through how to request, download, and search your Twitter data archive. Step 1. Open your Web browser, navigate to twitter.com, and then log into your account. You'll land on the home screen for your Twitter account. Step 2. Click the picture associated with your profile in the upper right corner of the screen to open a drop-down menu, and then click "Settings and Privacy" in the drop-down menu. The Account screen appears. Step 3. Scroll down to locate the Content section on the right side of the screen, and then click "Request Your Archive" to the right of Your Twitter Archive toward the bottom of the content section. A dialog box appears, notifying you that your request has been received and that a link to your Twitter archive will be sent to the email address associated with your Twitter account when the information is ready. Click "Close" to close the dialog box. Step 4. Monitor the email address associated with your Twitter account. You'll eventually get an email from [email protected] with a subject line that reads It's Tweet Archive Time. Click the "Download Now" link in the email to be redirected to a Your Twitter Archive page on Twitter's website. Step 5. Click "Download" on the Your Twitter Archive page. The ZIP file containing your Twitter archive will be downloaded to your computer. Step 6. Right-click the file you downloaded to your computer, and then click "Extract All." A window appears prompting you to choose a location to extract the ZIP file contents. Choose your location, and then click "Extract." Step 7. Navigate to the extracted folder, open it, and then double-click the "Index" file to launch it in a Web browser. A simple HTML page opens. You can click an individual month block in a specific year on the right side of the screen, and all of the tweets in that month will appear on the left side of the screen. Alternatively, you can use the Search All Tweets field toward the top of the screen to search your entire tweet archive. Finally, you can click the silhouette in the upper right corner of the screen to open a drop-down menu that you can use to access your Twitter account details.
Views: 954 Max Dalton
Twitter Data Collecting Web Crawler
 
05:18
This bot will be able to gather a substantial amount of twitter usernames, full names, user IDs, and links associated with user profiles. This is a small part of a larger project. To view links and usernames gathered, skip to 5:00 or a time in that area. I was going to put music in this video, but then I would probably get a copyright notice or whatever, so look up "Misery Index The Illuminaught" for an awesome song to play while watching.
Views: 2334 Frosty Nut