Analysing Tweets using R

Name: Analysing Tweets using R
Rating: 5.0 (2 reviews)

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

Created byPartha Majumdar

Last updated 4/2020

English

What you'll 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

Course content

7 sections • 24 lectures • 3h 11m total length

Introduction2:40
This video introduces the Course.
If you want to Learn R Programming or brush up on R Programming ...1:45
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".

What is Twitter and Why it is used?2:17
Twitter is one of the most popular Social Media Platforms. It is available at www.twitter.com. Presently, there are approximately 330 million monthly active users on Twitter and approximately 145 million daily active users on Twitter. Twitter users include most of the World Leaders and Scientists and Doctors and Celebrities, who make their point of view known to the World through Twitter. Almost all users of Twitter make all their major (and minor) announcements on Twitter. Almost all users of Twitter discuss almost all the latest events in the World on Twitter.

Twitter Developer Account7:15
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.
Fetching Tweets for Search String(s) and/or Hash Tag(s)12:47
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.
Getting Google Maps API Key4:25
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.
Fetching Tweets for a Location13:42
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.
Data fetched from Twitter4:56
In this video, we will discuss what information is obtained from Twitter.
Quiz: Fetching Tweets using R

Displaying Fetched Tweets using DT19:45
In this video, we will discuss how to tabulate and display the fetched Tweets.
Creating Time Series Charts for the fetched Tweets13:26
In this video, we will discuss how to generate Time Series Chart for the fetched Tweets.
Basic Statistics - Introduction2:42
Tweet Country Analysis9:52
In this video, we see how to find out the Country(ies) from where the Tweets have been posted.
Tweet Place Analysis4:50
In this video, we see how to find out the Place(s) from where the Tweets have been posted.
Tweet Language Analysis6:24
In this video, we see how to find out the Language(s) in which the Tweets have been made.
Tweet User Analysis11:10
In this video, we see how to find out the User(s) who made the Tweets.
Tweet Source Analysis6:41
In this video, we see how to find out the Source(s) using which the Tweets have been made.
Tweet Hash Tag Analysis10:13
In this video, we see how to find out the Hash Tag(s) used in the Tweets.
Quiz: Displaying Information about Tweets

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

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.

Who this course is for:

Students
Researchers
Data Analysts
Data Scientists
Computer Software Programmers

Analysing Tweets using R

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 4min

Introduction to Twitter1 lecture • 2min

Programming around Twitter5 lectures • 43min

Displaying Information about the fetched Tweets9 lectures • 1hr 25min

Programming Maps2 lectures • 16min

Emotion Analysis3 lectures • 29min

Course Closure2 lectures • 12min

Requirements

Description

Who this course is for: