Analyzes the emotional tone of text data to classify sentiment as positive, negative, or neutral for customer feedback and social media monitoring.
The Sentiment Analysis Adapter empowers Claude to evaluate the underlying emotions in written communication, providing actionable insights into public opinion and customer satisfaction. It effectively processes reviews, social media posts, and survey responses to output polarity scores and classifications. This skill is ideal for businesses and developers who need to automate the parsing of feedback or monitor brand sentiment in real-time within their Claude-powered workflows.
Key Features
01Provides numerical sentiment polarity scores
02Supports batch processing of customer reviews
03Classifies text as positive, negative, or neutral
04Identifies emotional tone in social media posts
05Integrates with automated feedback workflows
061 GitHub stars
Use Cases
01Evaluating customer review trends for product improvement
02Monitoring brand reputation on social media platforms
03Gauging public sentiment from large-scale survey responses