SyntaxSavy is a versatile text data analyzer designed to simplify text processing and analysis. It offers an array of functionalities to extract valuable insights from textual data.
- 📝 Text Summarization: Condense lengthy texts into concise summaries.
- 🔍 Keyword Extraction: Identify and extract keywords from the text data.
- 📉 Statistical Analysis: Obtain word counts, character counts, and other statistical metrics.
- 🌐 Language Detection: Determine the language of the input text.
- 🧲 Sentiment Analysis: Analyze sentiment and emotional tone within the text.
- Clone the repository.
- Install the necessary dependencies using
npm install
oryarn install
. - Run the application with
npm start
oryarn start
.
- Input your text data or document for analysis.
- Select the desired analysis option from the user-friendly interface.
- Review the generated output or analysis results.
Contributions are welcome! If you wish to contribute to SyntaxSavy, please follow these steps:
- Fork the repository.
- Create a new branch (
git checkout -b feature/yourfeature
). - Commit your changes (
git commit -am 'Add new feature'
). - Push to the branch (
git push origin feature/yourfeature
). - Create a new Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
Special thanks to [Name] for inspiration or reference to specific libraries/tools/resources used.
For any questions, suggestions, or issues, feel free to contact prasunadash2005@gmail.com or create an issue on the repository.