ranger - mirror of ranger - a simple, vim-like file manager

diff options

-rw-r--r--

2 files changed, 10 insertions, 6 deletions

# 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.


context:
space:
mode: