Research On User Attitude Recognition Based On Analysis Of Textual Emotional Tendency

Attitude is precisely a theoretical system of psychology and social science that has a rough definition but not particularly practical.This psychological component participates in the basic psychological process of people's evaluation of the things and events in the experience.It not only shows the people's reaction to the current environment's cognition,emotion and behavior,but also understands and responds to the current environment.At the same time,it also constructs people's desired or necessary living environment through attitude components.Expressing one's own attitude is already an interactive form that exists all the time.Nowadays,people are mainly dealing with information expressed in written form.Using text sentiment analysis helps to identify users.The purpose of the attitude.In this paper,the natural language processing and common-sense library recognition methods in text orientation analysis are used to accurately analyze the emotion in the text so as to achieve the purpose of identifying the user's attitude.This article first sorts out the connotation of attitude from the psychology reaction component of attitude,and draws the main constituents of attitude as emotional component and cognitive component.Then the method of attitude recognition from the perspective of psychology and text mining respectively.Expand the overview.Then the paper defines the 16-dimensional basic emotion rules based on the features of the OCC model in emotional cognition evaluation theory,and corrects the vector generated by the text emotion according to the FFM personality model,and generates different emotion generation rules for users with different personalities.The user attitude recognition model was constructed by combining the activation valence model.Because the model is different from the general sentiment analysis,considering the influence of personality on discrete emotions,it is one of the main innovation points of this paper.The model uses emotion calculations to analyze the specific emotion and emotional strength values,and confirms the user's text attitude through its distribution in the attitude model of continuous emotional dimensions.In order to verify the accuracy of text attitude recognition,a small chat discussion program was implemented according to the model.By comparing experiments,taking into account the cognitive recognition process,the effect of text attitude recognition is better than that of other models.This study of the user's attitude recognition method,the attitude of this mental imagery,is conducive to the performance of people's perception of the current environment,the event's emotions and behavior of the reaction and understanding.A thought and method provided for the study of subsequent sentiment analysis and attitude research.