https://github.com/dhanya-abhirami/twitter-sentiment-analysis

Analyzing tweets on GST Bill for Sentiment Classification
https://github.com/dhanya-abhirami/twitter-sentiment-analysis

information-retrieval sentiment-analysis tweepy twitter-sentiment-analysis web-mining web-scraping

Last synced: 4 months ago
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Analyzing tweets on GST Bill for Sentiment Classification

• Host: GitHub
• URL: https://github.com/dhanya-abhirami/twitter-sentiment-analysis
• Owner: Dhanya-Abhirami
• License: mit
• Created: 2018-08-08T14:10:27.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2020-08-20T17:48:30.000Z (about 5 years ago)
• Last Synced: 2025-06-12T12:49:49.163Z (4 months ago)
• Topics: information-retrieval, sentiment-analysis, tweepy, twitter-sentiment-analysis, web-mining, web-scraping
• Language: Python
• Homepage:
• Size: 5.86 KB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Twitter-Sentiment-Analysis

* Designed a sentiment analyzer for citizen voices on twitter.

* Collected tweets based on Goods and Services Tax(GST) Act, 2017

* Cleaned, Analyzed the tweets using Python 

* Feature extraction and feature selection

* Used sentiment analyzers based on Naive Bayes and SVM and compared the results

* Accuracy 93%