Analysing Tweets using R

Analysing Tweets using R, available at $54.99, has an average rating of 5, with 24 lectures, 4 quizzes, based on 2 reviews, and has 43 subscribers.

You will learn about Gathering Data from Twitter Using Twitter API Using Google Map API Analysing Twitter Data Lexicon based Emotion Analysis Use of many related R Libraries This course is ideal for individuals who are Students or Researchers or Data Analysts or Data Scientists or Computer Software Programmers It is particularly useful for Students or Researchers or Data Analysts or Data Scientists or Computer Software Programmers.

Enroll now: Analysing Tweets using R

Summary

Title: Analysing Tweets using R

Price: $54.99

Average Rating: 5

Number of Lectures: 24

Number of Quizzes: 4

Number of Published Lectures: 24

Number of Published Quizzes: 4

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $129.99

Quality Status: approved

Status: Live

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

Who Should Attend

Students
Researchers
Data Analysts
Data Scientists
Computer Software Programmers

Target Audiences

Students
Researchers
Data Analysts
Data Scientists
Computer Software Programmers

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: If you want to Learn R Programming or brush up on R Programming …

Chapter 2: Introduction to Twitter

Lecture 1: What is Twitter and Why it is used?

Chapter 3: Programming around Twitter

Lecture 1: Twitter Developer Account

Lecture 2: Fetching Tweets for Search String(s) and/or Hash Tag(s)

Lecture 3: Getting Google Maps API Key

Lecture 4: Fetching Tweets for a Location

Lecture 5: Data fetched from Twitter

Chapter 4: Displaying Information about the fetched Tweets

Lecture 1: Displaying Fetched Tweets using DT

Lecture 2: Creating Time Series Charts for the fetched Tweets

Lecture 3: Basic Statistics – Introduction

Lecture 4: Tweet Country Analysis

Lecture 5: Tweet Place Analysis

Lecture 6: Tweet Language Analysis

Lecture 7: Tweet User Analysis

Lecture 8: Tweet Source Analysis

Lecture 9: Tweet Hash Tag Analysis

Chapter 5: Programming Maps

Lecture 1: Location Analysis with Maps

Lecture 2: Interactive Maps with Leaflet

Chapter 6: Emotion Analysis

Lecture 1: Section Introduction

Lecture 2: Extracting Words from fetched Tweets

Lecture 3: Finding Most Prevalent Emotion

Chapter 7: Course Closure

Lecture 1: Next Steps

Lecture 2: About Me (Optional)

Instructors

Partha Majumdar
Just a programmer

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 0 votes
5 stars: 2 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu