{"id":20227998,"url":"https://github.com/danukarangith/simple-sentiment-analyzer_python","last_synced_at":"2026-06-08T11:01:24.230Z","repository":{"id":258199701,"uuid":"859135464","full_name":"danukarangith/simple-sentiment-analyzer_python","owner":"danukarangith","description":"This repository contains a simple web application for performing sentiment analysis on text input using Flask and TextBlob. 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The application allows users to enter text and receive a sentiment analysis result indicating whether the text is positive, negative, or neutral. (also have tkinter file upload cheker and normal checker).\n\n## Features\n\n- Text input for sentiment analysis\n- Backend powered by Flask\n- Sentiment analysis using TextBlob\n- User-friendly web interface with HTML,CSS and JavaScript\n\n## Project Structure\n\n- `app.py`: The main Flask application file that handles backend logic and routes.\n- `templates/index.html`: The HTML template for the frontend user interface.\n\n## Getting Started\n\n### Prerequisites\n\n- Python 3.6 or higher\n- Flask\n- TextBlob\n\n### Installation\n\n1. **Clone the repository:**\n\n    ```bash\n    git clone https://github.com/danukarangith/sentiment-analysis-app.git\n    cd sentiment-analysis-app\n    ```\n\n2. **Create and activate a virtual environment:**\n\n    ```bash\n    python -m venv venv\n    source venv/bin/activate  # On Windows use `venv\\Scripts\\activate`\n    ```\n\n3. **Install the required packages:**\n\n    ```bash\n    pip install flask textblob\n    ```\n\n4. **Run the application:**\n\n    ```bash\n    python app.py\n    ```\n\n5. **Open your web browser and navigate to:**\n\n    ```\n    http://127.0.0.1:5000\n    ```\n\n### Usage\n\n- Enter text into the textarea and click the \"Analyze Text\" button.\n- The sentiment result will be displayed below the form.\n\n### License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n### Acknowledgements\ntbd\n\n- [Flask](https://flask.palletsprojects.com/en/2.1.x/) - Web framework for Python\n- [TextBlob](https://textblob.readthedocs.io/en/dev/) - Text processing library for Python\n- [HTML](https://www.w3.org/TR/html5/) - Markup language for creating web pages\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanukarangith%2Fsimple-sentiment-analyzer_python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdanukarangith%2Fsimple-sentiment-analyzer_python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanukarangith%2Fsimple-sentiment-analyzer_python/lists"}