Sentiment Analyzer
Analyzes text for sentiment and sarcasm using Hugging Face Transformers within a Gradio application.
소개
This lightweight application provides sentiment analysis and sarcasm detection for text inputs. Built with Hugging Face Transformers and a Gradio UI, it efficiently processes text to classify sentiment as positive or negative and identify sarcasm with a confidence score. Designed to run on CPU and fully compatible with the Hugging Face MCP server architecture, it outputs structured JSON responses, making it ideal for integration into various text processing workflows.
주요 기능
- Sentiment classification (positive/negative)
- CPU-compatible for broad accessibility
- Simple and clean Gradio interface
- Structured JSON output format
- 0 GitHub stars
- Sarcasm detection with probability scores
사용 사례
- Processing user feedback or social media posts for emotional tone
- Developing text analysis components within Hugging Face MCP server environments
- Integrating sentiment and sarcasm analysis into web applications