This is a project that analyzes subtitles and identifies the most frequently used words. It's developed with React and Electron, making use of modern web technologies for the user interface and backend processing.
- Subtitle Analysis: The project extracts text from subtitle files and analyzes the frequency of each word.
- Word Frequency: It identifies and classifies words based on their usage frequency.
- Customizable Parameters: Users can adjust parameters for analysis, such as the number of top words to display.
- Visualization: Results are presented visually, making it easy to interpret the most used words.
- Clone this repository to your local machine.
- Install the required dependencies.
- Run the project locally.
- Provide subtitle files for analysis and observe the output of most used words.
Contributions are welcome! Feel free to submit pull requests with enhancements, bug fixes, or additional features.
This project is licensed under the MIT License.