Research on Key Technologies of Analysis of User Emotion Fluctuation Characteristics in Wireless Network Based on Social Information Processing

With the rapid development of the mobile Internet, people’s living habits have been greatly changed, and the ways to express their feelings have been gradually extended from offline to online. The research in the field of Internet user sentiment analysis provides a new method and tool for the prediction of social behavior in specific fields. Based on this, this research proposes the key technology of user’s emotion fluctuation analysis in wireless network based on social information processing. The affective dictionary with multiple affective types is used to identify the affective types, and the database of users, products and affective types is formed. Based on large-scale general knowledge base, sentence level emotion is detected. Through the automatic learning of emotion expression, the classification of sentence emotion is realized, and the analysis model of network user comment emotion is constructed. The confusion matrix of the classifier is introduced to analyze the user’s emotion fluctuation. In order to evaluate the effect of text emotion analysis, the accuracy index is introduced to evaluate the analysis results. Experimental results show that the proposed technique has ideal accuracy and strong applicability.