Method and system for analyzing microblog user's personalized sentiment tendency

Abstract

The invention discloses a method for analysing individual emotion tendency of microblog user. The method comprises the following steps of: acquiring data, separating words, loading a word bank and an emoticon bank, establishing the interested topic bank of the user, dividing short sentences, extracting emotion elements, establishing the individual locution list of the user, calculating a locution emotion value, calculating the topic emotion tendency of the user, and calculating the overall emotion tendency of the user. The invention further discloses a system for analysing individual emotion tendency of microblog user. According to the method and the system disclosed by the invention, an emotion analysis on the single microblog user is realized, and the emotion analysis on the user is combined with specific topics to avoid an indistinct and stiff analysis mode, thus the emotion analysis on the user is more meticulous and directional, and the accuracy of the emotion tendency analysis is improved.

Description

Technical field [0001] The invention relates to the field of microblog data processing, and in particular to a method and system for analyzing the individual emotional tendency of microblog users. Background technique [0002] Weibo is a free and random platform with short information and rapid release. Users often use Weibo to post their subjective feelings about various events and comment objects, and share their own values, opinions, and emotions with others. Weibo information contains a lot of emotional words, which contains rich emotional information. The free and relaxing environment enables the emotional expression information in the user's microblog data to more deeply and accurately reflect the user's emotional tendency. [0003] The current Chinese Weibo sentiment analysis research work is mainly carried out for a specific event and topic, analyzing all relevant Weibo information texts, extracting sentiment elements, performing statistical analysis, and classifying and l...

AI Technical Summary

Problems solved by technology

However, the current research mainly focuses on the sentiment analysis of microblog information or the emotional status of group users. The analysis and research on the emotional tendency of individual microblog users has not been carried out in depth, and there is no separate analysis of the emotional tendency of users.

Moreover, the analysis of emotional tendencies has not been subdivided into specific aspects of social life, which leads to the lack of pertinence of emotional analysis, and the accuracy and comprehensiveness of analysis and prediction need to be further improved.

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