Dynamic sentiment word and special adjunct word-based text sentiment analysis method

Abstract

The invention discloses a dynamic sentiment word and special adjunct word-based text sentiment analysis method. The method comprises the following steps of: (1) constructing a dynamic sentiment word-attribute word pair list and artificially labelling sentiment polarities and sentiment intensities of word pairs in the list, and constructing a special adjunct word-noun sentiment word pair list and artificially labelling sentiment polarities and sentiment intensities of word pairs in the list; (2) constructing a part of speech-based clause sentiment intensity calculation method; and (3) constructing a dynamic sentiment word and special adjunct word-based sentiment intensity correction method, and during sentiment analysis, correcting a sentiment calculation result according to a modification relationship between dynamic sentiment words and attribute words and a modification relationship between special adjunct words and noun sentiment words. The method disclosed by the invention has the advantages of sufficiently considering the functions of the dynamic sentiment words and of the special adjunct words in the sentiment analysis, so that the sentiment analysis result more accords with the practical conditions.

Description

technical field [0001] The invention belongs to the technical field of text sentiment analysis, in particular to a text sentiment analysis method based on dynamic sentiment words and special modifiers. Background technique [0002] Chinese text sentiment analysis refers to the analysis of the emotional polarity and emotional intensity of the text, so as to classify and summarize the views of the text and provide users with better decision-making basis. According to the granularity, text sentiment analysis can be divided into three levels: word level, sentence level and text level. Word-level sentiment analysis mainly uses sentiment word dictionaries to judge the emotional tendency of texts, such as common sentimental tendency dictionaries WordNet and General Inquirer. The typical method of sentence-level sentiment analysis is the text classification method or the method of combining emotional ontology and semantic features. Considering the vocabulary and structure of the se...

AI Technical Summary

Problems solved by technology

[0005] Liu Cuijuan and others proposed a sentiment analysis method based on the combination of dependency syntax and manual annotation in the article "Research on Visual Computing Method for Social Group Emotion Based on Microblog Text Data Analysis". , calculate the emotional intensity of emotional sentences through the emotional dictionary, and then modify the emotional intensity through adverbs. This method has the same problem as the emotional calculation method of Wu Jiang et al. in "Web Financial Text Sentiment Analysis Based on Semantic Rules", only considering emotional words , adverbs, and negative adverbs on emotional intensity, but did not consider the impact of collocations between words on emotional intensity

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