Analysing Tweets using R

In this Course, we go through the process of analysis of Twitter Data for Emotion Analysis.

Ratings 5.00 / 5.00

What You Will Learn!

Gathering Data from Twitter
Using Twitter API
Using Google Map API
Analysing Twitter Data
Lexicon based Emotion Analysis
Use of many related R Libraries

Description

People around the globe make over 500 million tweets per day. So, one can only imagine the sheer volume of data available with Twitter. This data is a treasure trove of information. However, one needs to know how to gather this data and then conduct the needed analysis.

This course provides all the information regarding

How to gather data from Twitter using R Programming
How to conduct basic analysis of the data gathered from Twitter
How to extract the Emotion expressed in the Tweets gathered

The course also discusses associated APIs required for analysing Twitter data like Google Maps API.

To take full advantage of the course, it will be required to create a developer account with Twitter. All the necessary steps for getting a Twitter Developer Account is provided in the course. However, it must be noted that it is the discretion of Twitter whether they will grant a Twitter Developer account against an application. Nevertheless, all the contents of the course can be followed and understood without a Twitter Developer account. Only difference will be that the data extracted from Twitter will be restricted. With limited data, the analysis possible will be limited.

We will use R Programming throughout this course. Thus, this course requires that the participants are conversant with R Programming.

If you prefer any other programming language (like. Python, etc.), then you can use this course to learn all the nuances of analysing Twitter Data and apply the same in programming in your language of your preference.