https://github.com/AndrewCathcart/got-sentiment-analysis

600k tweets for S8E3 of Game of Thrones
https://github.com/AndrewCathcart/got-sentiment-analysis

dataset game-of-thrones scraping twitter

Last synced: 14 days ago
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600k tweets for S8E3 of Game of Thrones

• Host: GitHub
• URL: https://github.com/AndrewCathcart/got-sentiment-analysis
• Owner: AndrewCathcart
• Created: 2019-05-03T20:26:08.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T06:36:26.000Z (almost 2 years ago)
• Last Synced: 2024-07-30T20:57:07.765Z (3 months ago)
• Topics: dataset, game-of-thrones, scraping, twitter
• Language: Python
• Homepage:
• Size: 31.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# got-sentiment-analysis

## Description

This project is built using [Python3](https://www.python.org/download/releases/3.0/). 

It uses [Pipenv](https://docs.pipenv.org/en/latest/) for managing dependencies.

It contains a dataset, `cleaned-got.csv`, which contains 595,703 unique tweets from 2019-04-27 00:00:00 to 2019-05-04 00:00:00 (UTC)

These tweets detail users reactions to the highly anticipated [Game of Thrones Season 8 Episode 3 "The Long Night"](https://en.wikipedia.org/wiki/The_Long_Night_(Game_of_Thrones)) that aired on 2019-04-28.

## Future work

- Use SentiWordNet for Unsupervised Sentiment Analysis rather than relying on the rule-based TextBlob implementation

- Add more visualizations