1 files changed, 108 insertions, 0 deletions
diff --git a/js/sentiment/README.md b/js/sentiment/README.md
new file mode 100644
index 0000000..141470d
--- /dev/null
+++ b/js/sentiment/README.md
@@ -0,0 +1,108 @@
+# Sentiment Analyzer
+
+## Overview
+
+The Sentiment Analyzer is a JavaScript application designed to analyze the sentiment of web content. It utilizes a combination of dictionary-based sentiment analysis, emotion categorization, intensity analysis, web content extraction, and metadata parsing to provide a comprehensive emotional analysis of text from web pages.
+
+### Key Features
+
+- **Emotion Categorization**: Classifies emotions into various categories such as joy, sadness, anger, and more.
+- **Intensity Analysis**: Measures the intensity of sentiments based on the context and usage of words.
+- **Web Content Extraction**: Fetches and extracts meaningful content from web pages, ignoring irrelevant sections like headers and footers.
+- **Metadata Parsing**: Extracts useful metadata such as titles, authors, and publication dates from web pages.
+
+## Installation
+
+To install dependencies, run:
+
+```bash
+bun install
+```
+
+## Usage
+
+To run the sentiment analyzer, use the following command:
+
+```bash
+bun run app.js <url>
+```
+
+You can also analyze multiple URLs at once:
+
+```bash
+bun run app.js <url1> <url2> <url3>
+```
+
+### Example
+
+```bash
+bun run app.js https://example.com/blog-post
+```
+
+### Help
+
+To display help information, use:
+
+```bash
+bun run app.js --help
+```
+
+## Building a Static Binary
+
+Bun allows you to build your application as a static binary, which can be distributed and run without requiring a separate runtime environment. To build the Sentiment Analyzer as a binary, follow these steps:
+
+1. **Build the Binary**: Run the following command in your terminal:
+
+   ```bash
+   bun build app.js --outdir ./bin --target node
+   ```
+
+   This command compiles your application into a single binary executable for Node.js and places it in the `./bin` directory.
+
+2. **Run the Binary**: After building, you can run the binary directly:
+
+   ```bash
+   ./bin/app.js <url>
+   ```
+
+   Or for multiple URLs:
+
+   ```bash
+   ./bin/app.js <url1> <url2> <url3>
+   ```
+
+### Example
+
+```bash
+./bin/app.js https://example.com/blog-post
+```
+
+## Extending the Program
+
+The Sentiment Analyzer is designed to be extensible. Here are some ways you can enhance its functionality:
+
+1. **Add More Dictionaries**: You can extend the positive and negative word dictionaries by adding more words or phrases relevant to specific contexts or industries.
+
+2. **Enhance Emotion Categories**: Modify the `emotionCategories` object in `app.js` to include additional emotions or synonyms that are relevant to your analysis needs.
+
+3. **Implement Machine Learning**: Consider integrating machine learning models for more advanced sentiment analysis that can learn from context and improve over time.
+
+4. **Support for Multiple Languages**: Extend the program to support sentiment analysis in different languages by adding language-specific dictionaries and rules.
+
+5. **Dynamic Content Handling**: Improve the content extraction logic to handle dynamic web pages (Single Page Applications) that load content asynchronously.
+
+6. **Batch Processing**: Implement functionality to read URLs from a file and process them in batches, which can be useful for analyzing large datasets.
+
+7. **Output Formatting Options**: Add options to format the output in different ways (e.g., JSON, CSV) for easier integration with other tools or systems.
+
+## Contributing
+
+Contributions are welcome! If you have suggestions for improvements or new features, feel free to open an issue or submit a pull request.
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+## Acknowledgments
+
+This project was created using `bun init` in bun v1.1.29. [Bun](https://bun.sh) is a fast all-in-one JavaScript runtime.