01Generates numerical sentiment scores for quantitative data analysis
02Integrates with file system tools to analyze local documentation
03Classifies text polarity into positive, negative, or neutral categories
04Identifies underlying emotional tones and opinion mining patterns
05883 GitHub stars
06Processes bulk text inputs including reviews, tweets, and surveys