Analysing Tweets using R
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Analysing Tweets using R

In this Course, we go through the process of analysis of Twitter Data for Emotion Analysis.
0.0 (0 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4 students enrolled
Created by Partha Majumdar
Last updated 4/2020
English
Current price: $104.99 Original price: $149.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 3 hours on-demand video
  • 29 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Gathering Data from Twitter
  • Using Twitter API
  • Using Google Map API
  • Analysing Twitter Data
  • Emotion Analysis
  • Use of many related R Libraries
Course content
Expand all 24 lectures 03:11:45
+ Introduction
2 lectures 04:25

This video introduces the Course.

Preview 02:40

We will use R Programming through this course. If you are unfamiliar with R Programming or need to brush up on R Programming skills, you could undertake the course. "Learning R through an Example".

Preview 01:45
+ Programming around Twitter
5 lectures 43:05

Applications can fetch Tweets from Twitter without the presence of Twitter Developer Account. However, for Enterprise Class applications, having a Twitter Developers Account is a must to be able to fetch Tweets from Twitter. This video discusses how to set up a Twitter Developer Account.

Preview 07:15

The video discusses the code required for fetching Tweets by any Search String. The Search String can be in any language.

Also, a demonstration of Chidiya is provided, where the code has been used.

Preview 12:47

For fetching Tweets for a particular location, we need the API Key from Google Maps.

In this video, we go through the steps to obtain the API Key from Google Maps.

Getting Google Maps API Key
04:25

In this video, we go through the code needed for fetching Tweets for a particular Location.

Also, a demonstration of Chidiya is provided, where the code has been used.

Fetching Tweets for a Location
13:42

In this video, I discuss what information is obtained from Twitter.

Data fetched from Twitter
04:56

This. quiz tests your knowledge with respect to fetching Tweets using R Programming.

Quiz: Fetching Tweets using R
5 questions
+ Displaying Information about the fetched Tweets
9 lectures 01:25:03

In this video,  I discuss how to tabulate and display the fetched Tweets.

Displaying Fetched Tweets using DT
19:45

In this video, I discuss how to generate Time Series Chart for the fetched Tweets.

Creating Time Series Charts for the fetched Tweets
13:26
Basic Statistics - Introduction
02:42

In this video, we see how to find out the Country(ies) from where the Tweets have been posted.

Tweet Country Analysis
09:52

In this video, we see how to find out the Place(s) from where the Tweets have been posted.

Tweet Place Analysis
04:50

In this video, we see how to find out the Language(s) in which the Tweets have been made.

Tweet Language Analysis
06:24

In this video, we see how to find out the User(s) who made the Tweets.

Tweet User Analysis
11:10

In this video, we see how to find out the Source(s) using which the Tweets have been made.

Tweet Source Analysis
06:41

In this video, we see how to find out the Hash Tag(s) used in the Tweets.

Tweet Hash Tag Analysis
10:13

This Quiz checks the learning in this section.

Quiz: Displaying Information about Tweets
5 questions
+ Programming Maps
2 lectures 15:52

In this video, we discuss Tweet Location Analysis with Maps.

Location Analysis with Maps
09:52

In this video, we discuss Tweet Location Analysis with Interactive Maps.

Interactive Maps with Leaflet
06:00
Quiz: Maps
5 questions
+ Emotion Analysis
3 lectures 29:08

This video introduces the section on Emotion Analysis on the Tweets fetched.

Section Introduction
03:35

In this video, we discuss how to extract the words available in the fetched tweets.

Extracting Words from fetched Tweets
09:43

In this video, we discuss the code required for finding the most prevalent emotion.

Finding Most Prevalent Emotion
15:50
Quiz: Emotion Analysis
5 questions
+ Course Closure
2 lectures 11:55

This video discusses the Next Steps possible after this course.

Next Steps
04:23
About Me (Optional)
07:32
Requirements
  • Must have knowledge of Programming
  • Must have knowledge of R Programming
  • Must have knowledge of using RStudio
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

  1. How to gather data from Twitter using R Programming

  2. How to conduct basic analysis of the data gathered from Twitter

  3. 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.

Who this course is for:
  • Students
  • Researchers
  • Data Analysts
  • Data Scientists
  • Computer Software Programmers