Entity sentiment analysis is an NLP module that combines both entity identification and sentiment analysis to determine the sentiment (positive or negative) expressed specifically towards recognized entities within the text. This provides a more fine-grained perspective on how specific subjects mentioned are viewed.

The output provides metrics such as the Entity Sentiment Score and Entity Sentiment Magnitude. This analysis is highly useful for deep dives into customer reviews and feedback forms, helping to visually map out user sentiment towards specific aspects of a product or service (e.g., shipping, pricing, customer service).