Research And Implementation Of Psychoanalysis Application Based On Sentiment Recognition

Nowadays,with the accelerated pace of life and the environment of quick success and instant benefit,"fast food culture"has become a common phenomenon.People generally rely on Weibo,WeChat and other ways to enjoy fast culture of short sentence style,thus making modern people's spiritual civilization is in a sub-health state,especially in the university campus.Depression,campus loans and other undesirable phenomena frequently appear.At the same time,with the further development of the mobile Internet,the development and diversification of application software development has been promoted.Therefore,it is necessary to develop a psychoanalytic application that can provide psychological help to contemporary college students and provide correct value orientation.According to the development of psychoanalytic applications at home and abroad,at present,there is a lack of an auxiliary adjustment application that can identify user emotions and provide corresponding emotional adjustment suggestions.This paper takes college students as the research object and combines the relevant knowledge of psychology education to design and develop a psychoanalytic application called iMood,which is suitable for college students to relieve emotions,and complete the entire application including the server and client implementation.The core difficulty of the whole application is the research of sentiment recognition methods.This application first studied the text classification model in deep learning.Based on the advantages of convolutional neural networks and Bi-directional Long Short-Term Memory,an improved C-BiL algorithm model is proposed for text classification,which completes five classification and recognition of emotions.Comparison of experimental data on three data sets Weibo,Fudan and Diary shows that the C-BiL algorithm model can achieve higher classification accuracy in text classification,especially on the data set Diary,it is 2.47%higher than other text classification models.At the same time,the server also implements functions such as load balancing,authentication,cache testing,and data storage.The client provides five functions,including login registration,mood diary,professional assessment,psychology science and personal center.Support users to write "Mood Diary" and identify the emotions of the diary content through the sentiment analysis algorithm,so as to provide users with appropriate suggestions about mood adjustment and alleviate the user's bad mood.The application interacts with users through the client,and users can adjust their lifestyle according to the advice of iMood,relieve negative emotions,focus on daily life,live and learn more actively and healthily.