Interactive microblog text emotion mining method based on emotion migration perception in social network

Abstract

The invention discloses an interactive microblog text emotion mining method based on emotion migration perception in a social network, which comprises the following steps of: firstly, carrying out emotion polarity labeling on a microblog text based on single microblog semantics and text contents of interaction history of the single microblog semantics; secondly, adopting a pre-training language model BERT in the field of natural language processing, and extracting statement-level microblog emotion semantic features; secondly, extracting a context-level emotion semantic feature in an interactive social network context by using a long short-term memory (LSTM) network; then, introducing a learning normal form of multi-task learning, establishing an emotion migration perception auxiliary task, designing an emotion association relationship enhanced Attention mechanism by utilizing emotion migration characteristics, extracting emotion influence factors related to the current microblog from interaction history, then fusing the emotion influence factors with emotion semantic characteristics, carrying out emotion polarity classification, and constructing a microblog text emotion recognition model. According to the method, the accuracy of interactive microblog text emotion mining and the generalization ability of the model are greatly improved.

Description

technical field [0001] The invention relates to an interactive microblog text emotion mining method based on emotion offset perception in a social network. Background technique [0002] In recent years, with the rapid development of information technology and the popularization of Internet applications, more and more people are used to posting personal views and sharing their lives through online platforms. Sina Weibo is a mature social network platform with hundreds of millions of Internet users. It has become an important way for Chinese netizens to express their opinions and participate in discussions in their daily lives. It plays a pivotal role in the development of my country's Internet public opinion and has great social value. Sentiment analysis of microblog text is mainly the process of analyzing, processing, summarizing and reasoning subjective text with emotional color, so as to obtain netizens’ opinions on a certain event or thing, so as to perceive the overall pu...

AI Technical Summary

Problems solved by technology

[0003] The current emotion recognition technology for Weibo texts is mainly aimed at a single Weibo te

Images