https://github.com/mementomori11723/sentimental-analysis

A small project built for analysing the emotional context of a text (need to add V2)
https://github.com/mementomori11723/sentimental-analysis

go nltk streamlit

Last synced: 25 days ago
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A small project built for analysing the emotional context of a text (need to add V2)

• Host: GitHub
• URL: https://github.com/mementomori11723/sentimental-analysis
• Owner: MementoMori11723
• Created: 2023-01-22T19:30:10.000Z (almost 2 years ago)
• Default Branch: master
• Last Pushed: 2024-09-08T13:39:41.000Z (4 months ago)
• Last Synced: 2024-09-09T13:49:03.268Z (4 months ago)
• Topics: go, nltk, streamlit
• Language: CSS
• Homepage: https://sentimental-analysis-02k5.onrender.com
• Size: 25.7 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Sentimental - analyze 

## analysing sentiment of text

### Key Sections in the README:

- **Introduction**: Briefly explains the app’s purpose.

- **Features**: Outlines the key features of your app.

- **Installation**: Guides the user on how to install and run the app locally.

- **Using Docker**: Instructions on how to build and run the app using Docker, as well as how to push the image to GitHub Packages.

- **Usage**: Describes how to use the app.

- **Example**: Gives sample sentiment analysis cases.

- **GitHub Actions**: Mentions the automated Docker image build and publish process using GitHub Actions.

- **License**: License information for your project.

- **Author**: Add your name or your team's name.

This `README.md` file should be sufficient for most users to understand and use your project. You can add or modify sections based on your app’s complexity and use cases. Let me know if you need further customization!