Analysing Tweets using R
- Last Updated Jun 11th 2022
In this Course, we go through the process of analysis of Twitter Data for Emotion Analysis.
Total course Fee₹ 5100 ₹ 6000
Approx Completion Time
7 days
ValidityLifetime access 
Course FormatRecorded
IncludesCertificate
Assignments
Content 03:02 Hours Videos
22 Lessons
Top Online Course in India
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Overview
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.
It is also desirable to have a Google Maps account to be able to take full advantage of this course. Not having a Google Maps account will not impede in learning the concepts discussed in the course. However, there will be severe limitations on the data that can be fetched from Twitter.
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 Content
- Displaying Fetched Tweets using DT 00:19:45
- Creating Time Series Charts for the fetched Tweets 00:13:26
- Basic Statistics - Introduction 00:02:42
- Tweet Country Analysis 00:09:52
- Tweet Place Analysis 00:04:50
- Tweet Language Analysis 00:06:24
- Tweet User Analysis 00:11:10
- Tweet Source Analysis 00:06:41
- Tweet Hash Tag Analysis 00:10:13
- Quiz: Displaying Information about Tweets
Basic Requirement
-
Must have knowledge of Programming
-
Must have knowledge of R Programming
-
Must have knowledge of using RStudio
Skills Covered
-
Gathering Data from Twitter
-
Using Twitter API
-
Using Google Map API
-
Analysing Twitter Data
-
Lexicon based Emotion Analysis
-
Use of many related R Libraries
Expert Review
Have you ever considered a career in data analysis? Are you looking for how to extract and understand the data?
We have a detailed course for you for analyzing twitter data and how to extract it.R programming will be used throughout the course. As such, the participants in this course must be familiar with R programming.
Even if you prefer another programming language (like Python, etc. ), you can use this course to learn all the nuances of analyzing Twitter Data and apply it to programming in that language.
Below are some basic points about analyzing tweets using R programming.
What Is Twitter Data?
In Twitter data, the user, the access point, the content within the post, and how the user views or uses the post are all taken into consideration. The reason for this is that a single tweet can collect an enormous amount of data.
It's possible to know demographic statistics, the number of clicks on your profile, or the number of people who saw your tweet by using this data. The data we present here is just the tip of the iceberg, but understanding it allows you to identify how your content is used.
Measurement of Twitter data
There are several ways to measure your Twitter data. In terms of analytics, you have numerous options, depending on how comprehensive you want your analysis to be.
Analysis of Tweets Is Important
It is easy to determine what people think about a certain keyword (positively or negatively) using Analyze Tweets. Perhaps you are curious about what others think about a restaurant, hotel, or shopping mall. Perhaps you want to better understand the positive and negative aspects of a particular politician. You can categorize tweets if people are tweeting about this keyword using Analyze Tweets. This feature is particularly useful when there are a large number of tweets surrounding a particular topic.
Overview
Course Overview
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.
It is also desirable to have a Google Maps account to be able to take full advantage of this course. Not having a Google Maps account will not impede in learning the concepts discussed in the course. However, there will be severe limitations on the data that can be fetched from Twitter.
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.
Basic Requirements
-
Must have knowledge of Programming
-
Must have knowledge of R Programming
-
Must have knowledge of using RStudio
Skills Covered
-
Gathering Data from Twitter
-
Using Twitter API
-
Using Google Map API
-
Analysing Twitter Data
-
Lexicon based Emotion Analysis
-
Use of many related R Libraries
Expert Review
Have you ever considered a career in data analysis? Are you looking for how to extract and understand the data?
We have a detailed course for you for analyzing twitter data and how to extract it.R programming will be used throughout the course. As such, the participants in this course must be familiar with R programming.
Even if you prefer another programming language (like Python, etc. ), you can use this course to learn all the nuances of analyzing Twitter Data and apply it to programming in that language.
Below are some basic points about analyzing tweets using R programming.
What Is Twitter Data?
In Twitter data, the user, the access point, the content within the post, and how the user views or uses the post are all taken into consideration. The reason for this is that a single tweet can collect an enormous amount of data.
It's possible to know demographic statistics, the number of clicks on your profile, or the number of people who saw your tweet by using this data. The data we present here is just the tip of the iceberg, but understanding it allows you to identify how your content is used.
Measurement of Twitter data
There are several ways to measure your Twitter data. In terms of analytics, you have numerous options, depending on how comprehensive you want your analysis to be.
Analysis of Tweets Is Important
It is easy to determine what people think about a certain keyword (positively or negatively) using Analyze Tweets. Perhaps you are curious about what others think about a restaurant, hotel, or shopping mall. Perhaps you want to better understand the positive and negative aspects of a particular politician. You can categorize tweets if people are tweeting about this keyword using Analyze Tweets. This feature is particularly useful when there are a large number of tweets surrounding a particular topic.
Course Content
- Displaying Fetched Tweets using DT 00:19:45
- Creating Time Series Charts for the fetched Tweets 00:13:26
- Basic Statistics - Introduction 00:02:42
- Tweet Country Analysis 00:09:52
- Tweet Place Analysis 00:04:50
- Tweet Language Analysis 00:06:24
- Tweet User Analysis 00:11:10
- Tweet Source Analysis 00:06:41
- Tweet Hash Tag Analysis 00:10:13
- Quiz: Displaying Information about Tweets
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PARTHA MAJUMDAR
Partha Majumdar is just a programmer. He has been involved in developing more than 10 Enterprise Class products which have been deployed in Customer locations in more than 57 countries. He has worked with key ministries of 8 countries in developing key systems for them. Also, he has been involved in development of key systems for more than 20 enterprises. Partha has been employed in enterprises including Siemens, Amdocs, NIIT, Mobily, JP Morgan Chase & Co. Apart from developing systems in the companies, Partha managed highly profitable business units. He has set up 3 reasonably successful companies as of 2021 in India, Dubai and Saudi Arabia. Partha has a passion for sharing knowledge. He documents his experiences in technical and management aspect in his blog http://www.parthamajumdar.org. Also, he regularly publishes videos on his YouTube channel - https://www.youtube.com/channel/UCbzrZ_aeyiYVo1WJKhlP5sQ. Partha has worked on developing OLTP systems for Telcos, Hospitals, Tea Gardens, Factories, Travel Houses, Cricket Tournament, etc. Since 2012, Partha has been developing Data Products and has been intensively working on Machine Learning and Deep Learning. Partha has a panache for finding patterns in most of what he gets involved in. As a result, Partha has been useful to teams for developing Rapid Development Tools. Partha has continued to learn new domains and technology throughput his career. After his graduation in Mathematics, Partha has completed masters in Telecommunications and Computer Security. He has also completed executive MBAs in Information Systems and Business Analytics. He recently completed PG Certificate program in AI/ML/DL from Manipal Academy of Higher Education, Dubai and advanced certificate in Cyber Security from IIT, Kanpur. He is currently pursuing advanced certificate in Computational Data Sciences from IISc, Bangalore. Partha is the author of "Learn Emotion Analysis with R" published by BPB Publisher. Partha is an avid traveller. He has had the opportunity to visit 24 countries for work and leisure so far. Many of Partha's travels have been documented in http://www.parthatravelogue.blog. Partha loves experiencing different cultures and learns from every interaction. Partha is married to Deepshree and has 2 daughters - Riya and Ranoo.
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