Twitter data analysis | Computer Science homework help

 

 

NF 160 Introduction to Data Science

Twitter Data Analysis

Due Date: Nov 5, 2020

Points: 22

Objective:

Examine students’ ability to create Twitter applications in order to download tweets by using the R platform for data science projects.

Tasks:

Students will create a Twitter application for scraping tweets by using the R platform. They will use this application to download a total of 200 tweets by searching with their chosen hashtag and from a user profile. The first 100 tweets will be collected by using a student-chosen hashtag/keyword and the rest 100 tweets will be collected from a student-chosen Twitter user profile.

Deliverables:

Two files:

  • One word processing/PDF file explaining the steps of Twitter application creation
  • The RStudio file that contains codes for Twitter data collection 

Submission:

Upload both of these files in Canvas Assignment section.

Points and Rubrics:

Word Processing/PDF file:

  • The word processing/PDF file explaining the steps of Twitter application creation will get a maximum of 5 points
  • Inclusion of comprehensive application creation steps will get a maximum of 5 points
  • Inclusion of minimal application creation steps will get a maximum of 3 points
  • No explanation of Twitter application creation will get 0 point

RStudio File:

  • The RStudio file will get a maximum of 6 points
  • 150-199 tweets comprising of a hashtag and user profile will get 5 points
  • 50-149 tweets comprising of a hashtag and use profile will get 3 points
  • Less than 50 tweets comprising of a hashtag and user profile will get 2 points
  • No tweet will get 0 points
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