Analysing Tweets using R
- 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
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How to gather data from Twitter using R Programming
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How to conduct basic analysis of the data gathered from Twitter
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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.
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1Introduction
This video introduces the Course.
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2If 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".
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4Twitter 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.
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5Fetching 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.
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6Getting 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.
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7Fetching 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.
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8Data fetched from Twitter
In this video, I discuss what information is obtained from Twitter.
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9Quiz: Fetching Tweets using R
This. quiz tests your knowledge with respect to fetching Tweets using R Programming.
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10Displaying Fetched Tweets using DT
In this video, I discuss how to tabulate and display the fetched Tweets.
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11Creating Time Series Charts for the fetched Tweets
In this video, I discuss how to generate Time Series Chart for the fetched Tweets.
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12Basic Statistics - Introduction
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13Tweet Country Analysis
In this video, we see how to find out the Country(ies) from where the Tweets have been posted.
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14Tweet Place Analysis
In this video, we see how to find out the Place(s) from where the Tweets have been posted.
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15Tweet Language Analysis
In this video, we see how to find out the Language(s) in which the Tweets have been made.
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16Tweet User Analysis
In this video, we see how to find out the User(s) who made the Tweets.
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17Tweet Source Analysis
In this video, we see how to find out the Source(s) using which the Tweets have been made.
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18Tweet Hash Tag Analysis
In this video, we see how to find out the Hash Tag(s) used in the Tweets.
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19Quiz: Displaying Information about Tweets
This Quiz checks the learning in this section.
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23Section Introduction
This video introduces the section on Emotion Analysis on the Tweets fetched.
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24Extracting Words from fetched Tweets
In this video, we discuss how to extract the words available in the fetched tweets.
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25Finding Most Prevalent Emotion
In this video, we discuss the code required for finding the most prevalent emotion.
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26Quiz: Emotion Analysis
Social Network