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Twitter Sentiment Analysis
Twitter Sentiment Analysis is a web-based application that can analyze the sentiment of tweets based on the VADER (Valence Aware Dictionary and Sentiment Reasoner) algorithm. This app allows users to enter a query (keyword, hashtag, etc.) to search for tweets and generates a sentiment score. Use the README.md to get started. (back to top) Built With
(back to top) Installation Clone the repo https://github.com/agungmahadana/Twitter-Sentiment-Analysis.git Build and clean Run the app(back to top) ContributingContributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again! Fork the Project Create your Feature Branch (git checkout -b feature/AmazingFeature) Commit your Changes (git commit -m 'Add some AmazingFeature') Push to the Branch (git push origin feature/AmazingFeature) Open a Pull Request(back to top) LicenseDistributed under the MIT License. See LICENSE for more information. (back to top) Acknowledgments Python Streamlit(back to top) |
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