How to Analyze Call Sentiment With Open-Source NLP Libraries

Call sentiment analysis uses natural language processing (NLP) to surface those signals at scale. Sentiment signals often fall into three broad categories: polarity, intensity and temporal shifts. When applied across large call volumes, sentiment metrics reveal systemic trends that individual call reviews rarely uncover.