Entailed Polarity

Entailed Polarity refers to the use of natural language processing techniques to infer the implicit emotional tendency from given text. Its goal is to accurately identify emotional information in the text, including positive, negative, or neutral, and further analyze how these emotions are expressed in specific contexts. The application value of Entailed Polarity lies in its ability to deeply understand user feedback, market trends, and public sentiment on social networks, providing data support for business decisions, while also playing a significant role in areas such as sentiment analysis and public opinion monitoring.