Analysing Tweets using R
In this Course, we go through the process of analysis of Twitter Data for Emotion Analysis.
- Description
- Curriculum
- FAQ
- Reviews
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.
Introduction to Twitter
-
1
IntroductionThis video introduces the Course.
-
2
If you want to Learn R Programming or brush up on R Programming ...
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".
Programming around Twitter
Displaying Information about the fetched Tweets
-
4
Twitter Developer Account
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.
-
5
Fetching Tweets for Search String(s) and/or Hash Tag(s)
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.
-
6
Getting Google Maps API Key
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.
-
7
Fetching Tweets for a Location
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.
-
8
Data fetched from Twitter
In this video, I discuss what information is obtained from Twitter.
-
9
Quiz: Fetching Tweets using RThis. quiz tests your knowledge with respect to fetching Tweets using R Programming.
Programming Maps
-
10
Displaying Fetched Tweets using DT
In this video, I discuss how to tabulate and display the fetched Tweets.
-
11
Creating Time Series Charts for the fetched Tweets
In this video, I discuss how to generate Time Series Chart for the fetched Tweets.
-
12
Basic Statistics - Introduction
-
13
Tweet Country Analysis
In this video, we see how to find out the Country(ies) from where the Tweets have been posted.
-
14
Tweet Place Analysis
In this video, we see how to find out the Place(s) from where the Tweets have been posted.
-
15
Tweet Language Analysis
In this video, we see how to find out the Language(s) in which the Tweets have been made.
-
16
Tweet User Analysis
In this video, we see how to find out the User(s) who made the Tweets.
-
17
Tweet Source Analysis
In this video, we see how to find out the Source(s) using which the Tweets have been made.
-
18
Tweet Hash Tag Analysis
In this video, we see how to find out the Hash Tag(s) used in the Tweets.
-
19
Quiz: Displaying Information about Tweets
This Quiz checks the learning in this section.
Emotion Analysis
Course Closure
-
23
Section Introduction
This video introduces the section on Emotion Analysis on the Tweets fetched.
-
24
Extracting Words from fetched Tweets
In this video, we discuss how to extract the words available in the fetched tweets.
-
25
Finding Most Prevalent Emotion
In this video, we discuss the code required for finding the most prevalent emotion.
-
26
Quiz: Emotion Analysis
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!
Stars 5
2
Stars 4
0
Stars 3
0
Stars 2
0
Stars 1
0
Course details
Video
3 hours
Certificate of Completion
Popular courses
Social Network