Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Empowers Claude to perform sophisticated sentiment analysis and opinion mining on various text sources, from customer reviews to social media posts. By leveraging AI and machine learning techniques, it calculates sentiment scores and classifies polarity to help users understand public opinion, gauge customer satisfaction, and detect emotional trends in written communication. This skill is particularly valuable for processing large volumes of feedback where manual tone assessment is impractical.
주요 기능
01Calculates detailed sentiment polarity scores
02Performs opinion mining and emotion detection
03Provides context-aware interpretation of emotional tone
04Supports diverse text inputs including reviews and social media
05Classifies text sentiment as positive, negative, or neutral
06712 GitHub stars
사용 사례
01Evaluating customer satisfaction through review analysis
02Categorizing feedback in large-scale survey responses
03Monitoring brand perception and public opinion on social media
