Social media analysis in R using twitter API
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This document provides an overview of analyzing social media data from Twitter using R. It discusses the following: - Introduction to the Twitter APIs, including the Stream and REST APIs and how they are used to capture live and archived Twitter data. - The process for authenticating with the Twitter APIs using authentication keys and accessing Twitter data through API calls in R. - Examples of capturing Twitter user data through API calls, including timelines, followers, locations. - Integrating other APIs like Google Maps to visualize Twitter data on maps. - Performing analysis on Twitter data like sentiment analysis using word clouds and visualizing trends over time through diagrams.
Social media analysis in R using twitter API
- 1. Social Media Analysis using twitteR Mohd Shadab Alam Lead Assistant Manager, Inductis
- 2. What will be covered? • Introduction to twitter APIs • How to use twitter APIs in R • Capturing twitter data • Google map API • Tweets Distribution • Sentiment analysis using twitter data • Followers accession diagram
- 3. Introduction to twitter APIs • API stands for application interface “a set of functions and procedures that allow the creation of applications which access the features or data of an operating system, application, or other service” • Two of the most commonly used APIs are: (a) Stream API (b) REST API GENERAL INTRODUCTION
- 4. Introduction to twitter APIs TWO APIs: DEFINITION (a) Stream API To listen to the live tweets of a user, or listen to tweets having a particular keyword we use Stream API (b) REST API If we want to retrieve archival data then we use REST API
- 5. Introduction to twitter APIs API input/output structure INPUT OUTPUT User name tweet Key word Time Date range Lat long (geo coding) Lat long range followers Language retweets and so on… and so on..
- 6. How to use twitter API in R AUTHENTICATION We need to log into the twitter developer account to set up an authentication channel dev.twitter.com Secure authentication key and password are needed before we can start using the APIs
- 7. How to use twitter API in R AUTHENTICATION
- 8. How to use twitter API in R AUTHENTICATION NOTE: Do not forget to register the mobile number
- 9. How to use twitter API in R REGISTERATION PROCESS Required Libraries install_github("twitteR",username="geo ffjentry") require(twitteR) setup_twitter_oauth(“f5GhnjWoR17clm d85PMQfjhHO", "QUZlAyj9w9O50TbyYdlNBkV7zILLs4 zjhhQFJ2sbBIxhp4Alm2")
- 10. Capturing twitter data API CALL Sample API calls: userTimeline('MaxLifeIns', n=3200) user$getFollowers() t(sapply(getUser('MaxLifeIns') $getFollowers(), function(x) c(x$name, x$location, x$statusesCount)))
- 11. Capturing twitter data HOW DATA LOOKS LIKE C:Usersshadab Desktoptwitterfollowers
- 12. Google map API API CALL Sample API calls: require(ggmap) map <- get_map(location = 'India', zoom = 4) points <- data.frame(x = as.numeric(loci$lon), y = as.numeric(loci$lat)) ggmap(map) + geom_point(data = points, aes(x = x, y = y), size = 3, alpha = 1/3, color = "darkblue")
- 14. Sentiment analysis WORD CLOUD Positive Negative win poor appreciable worst performer decrease increase loose nice not and so on… and so on.. Corpus is created and word is replaced with the stem word like running is replaced with “run” etc. Frequency of positive and negative words are counted to mark a sentence as positive or negative.
- 15. Followers accession diagram The DIAGRAM
- 17. THANK YOU!!! THANK YOU SLIDE!!!