Analysis of Online User Portrait Recognition Based on Deep Learning BCCM Model
ZHOU Xiaohua
Abstract：A BCCM model for identifying perceptual investors by analyzing content and behavioral characteristics is construct?ed by integrating traditional learning methods and deep user representation learning methods. Then the validity of the model is test?ed. According to the actual test results,when the BCCM model is used to process the unbalanced data set,the values of R,F1 and F2 obtained are higher than those of the traditional decision tree,logistic regression and naive bayesian model. By processing the balanced data set,it can be found that the BCCM model achieves better results than the traditional baseline classification model. Through the comprehensive analysis of the experimental results,it can be found that the in-depth user representation learning meth?od and specific text content data can be used in the research of user portrait identification of perceptual investors,which is condu?cive to the comprehensive improvement of user portrait evaluation indicators.
Keywords：user portraitemotional analysisuser learningfusion characteristics
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 2176-2179,2226 )