Dynamic emotion modelling and anomaly detection in conversation based on emotional transition tensor

Conversational data in social media contain a great deal of useful information, and conversation anomaly detection is an important research direction in the field of sentiment analysis. Each user has his or her own specific emotional characteristic, and by studying the distribution and sampling the users’ emotional transitions, we can simulate specific emotional transitions in the conversations. Anomaly detection in conversation data refers to...