https://github.com/theinit01/text-sentimentanalysis
A Flask-based web application for analyzing the sentiment of text input, displaying percentages of positive, negative, and neutral sentiments.
https://github.com/theinit01/text-sentimentanalysis
Last synced: 11 days ago
JSON representation
A Flask-based web application for analyzing the sentiment of text input, displaying percentages of positive, negative, and neutral sentiments.
- Host: GitHub
- URL: https://github.com/theinit01/text-sentimentanalysis
- Owner: theinit01
- Created: 2024-03-30T18:00:33.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-30T18:04:22.000Z (over 1 year ago)
- Last Synced: 2025-04-10T03:59:11.663Z (3 months ago)
- Language: HTML
- Homepage:
- Size: 74.2 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Sentiment Analysis Web App
This is a simple web application built with Flask for performing sentiment analysis on text input. It analyzes the sentiment of the provided text and displays the percentage of positive, negative, and neutral sentiments.
## Features
- Input text area for entering the text to be analyzed.
- Analyze button to trigger the sentiment analysis process.
- Displays the percentage of positive, negative, and neutral sentiments after analysis.
- Option to clear the analysis results.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/theinit01/Text-SentimentAnalysis
```
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Run the Flask application:
```bash
python main.py
```
4. Open your web browser and go to `http://localhost:5000` to access the application.
## Screenshots
## Usage
1. Enter the text you want to analyze in the input text area.
2. Click on the "Analyze" button to perform sentiment analysis.
3. The analysis results will be displayed showing the percentage of positive, negative, and neutral sentiments.
4. To clear the analysis results, click on the "Clear Results" button.
## Contributing
Contributions are welcome! If you have any suggestions, feature requests, or find any issues, please open an issue or create a pull request.
## License
This project is licensed under the [MIT License](LICENSE).