Social Media Analysis using twitteR

Mohd Shadab AlamLead Assistant Manager,Inductis

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

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

Introduction to twitter APIsTWO APIs: DEFINITION

(a) Stream APITo listen to the live tweets of a user, or

listen to tweets having a particular keyword we use Stream API

(b) REST APIIf we want to retrieve archival data then we

use REST API

Introduction to twitter APIsAPI 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..

How to use twitter API in RAUTHENTICATION

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

How to use twitter API in RAUTHENTICATION

How to use twitter API in RAUTHENTICATION

NOTE: Do not forget to register the mobile number

How to use twitter API in RREGISTERATION PROCESS

Required Libraries

install_github("twitteR",username="geoffjentry")

require(twitteR)

setup_twitter_oauth(“f5GhnjWoR17clmd85PMQfjhHO", "QUZlAyj9w9O50TbyYdlNBkV7zILLs4zjhhQFJ2sbBIxhp4Alm2")

Capturing twitter dataAPI CALL

Sample API calls:

userTimeline('MaxLifeIns', n=3200)

user$getFollowers()

t(sapply(getUser('MaxLifeIns')$getFollowers(), function(x) c(x$name, x$location, x$statusesCount)))

Capturing twitter dataHOW DATA LOOKS LIKE

C:\Users\shadab\Desktop\twitter\followers

Google map APIAPI 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")

Tweets distributionMAP

Sentiment analysisWORD 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.

Followers accession diagramThe DIAGRAM

THOUGHTS!QUESTIONS?

THANK YOU!!!THANK YOU SLIDE!!!