Analysis and Countermeasures of College Students’ Sentimental Tendency Based on Network Behavior Data

Based on the characteristics of college students' network users and micro blogs, this paper studies the analysis of micro blog emotional tendency, and proposes a micro blog emotional tendency method integrating users’ behavior. Firstly, the LDA model is constructed to reflect the topic distribution of microblog. Considering the needs of follow-up research, a topic emotion joint model is proposed. Then, LSTM algorithm is used to profile users based on sentiment analysis and personality prediction, and the relationship between each attribute is analyzed. Finally, through the subjective and objective category prediction of the evaluation task data, the effectiveness of the proposed behavior analysis fusion algorithm and the generality of the classification model based on emotional tendency are verified.