Analysing Tweets using R
In this Course, we go through the process of analysis of Twitter Data for Emotion Analysis.
Updated on Apr, 2024
Language - English
Development,Data Analysis,Data Science
Lectures -24
Resources -16
Duration -3 hours
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Course 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
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. preference.
Goals
What will you learn in this course:
- Gathering Data from Twitter
- Using Twitter API
- Using Google Map API
- Analysing Twitter Data
- Emotion Analysis
- Use of many related R Libraries
Prerequisites
What are the prerequisites for this course?
- Must have knowledge of Programming
- Must have knowledge of R Programming
- Must have knowledge of using RStudio
- Must have a Twitter Account
Curriculum
Check out the detailed breakdown of what’s inside the course
Welcome to the Course
1 Lectures
-
Introduction
02:40
02:40
Introduction to Twitter
1 Lectures
Programming around Twitter
5 Lectures
Displaying Information about the fetched Tweets
9 Lectures
Programming Maps
2 Lectures
Emotion Analysis
3 Lectures
Course Closure
2 Lectures
Instructor Details
PARTHA MAJUMDAR
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