https://github.com/upasanadhameliya/twitter-sentiment-analysis

Classification of Tweets using machine learning models as being of positive sentiment or negative sentiment
https://github.com/upasanadhameliya/twitter-sentiment-analysis

Last synced: 8 months ago
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Classification of Tweets using machine learning models as being of positive sentiment or negative sentiment

• Host: GitHub
• URL: https://github.com/upasanadhameliya/twitter-sentiment-analysis
• Owner: Upasanadhameliya
• Created: 2020-05-11T04:57:38.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-05-11T05:28:49.000Z (over 5 years ago)
• Last Synced: 2025-01-10T03:26:14.551Z (9 months ago)
• Language: Jupyter Notebook
• Size: 2.17 MB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Twitter-Sentiment-Analysis

Classification of Tweets using machine learning models as being of positive sentiment or negative sentiment. Uses the twitter dataset available in the below link:

https://raw.githubusercontent.com/dD2405/Twitter_Sentiment_Analysis/master/train.csv



The notebook aims to preprocess the twitter data, analyse it and use it to predict the sentiment of the test data