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Sentence sentiment classification method based on deep representation technology and three-way decision

A technology of emotion classification and sentences, applied in the field of computer social interaction, can solve problems such as inaccurate expression of contextual relations

Pending Publication Date: 2021-02-12
BEIJING INST OF COMP TECH & APPL
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Problems solved by technology

[0006] The purpose of the present invention is to provide a sentence sentiment classification method based on deep representation technology and three-way decision-making, which is used to solve the problems of polysemy and inaccurate expression of contextual relations

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  • Sentence sentiment classification method based on deep representation technology and three-way decision

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[0014] In order to make the purpose, content, and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0015] The present invention provides a sentence sentiment classification method based on deep characterization technology and three-way decision-making, such as figure 1 As shown, the steps of the sentence sentiment classification of this method include:

[0016] (1) Sentence preprocessing, first delete the punctuation marks in the sentence, and then perform Chinese word segmentation on the sentence;

[0017] During specific implementation, use spacy and other Chinese word segmentation tools to segment sentences into word sequences. For example, the sentence of a Weibo comment reads: The scenery is not bad, that sea of ​​flowers is so beautiful. Fu Xinbo is so handsome, he doesn't match Bai Bing, the plot is easy, i...

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Abstract

The invention relates to a sentence sentiment classification method based on a deep representation technology and a three-way decision, and the method comprises the steps: (1) carrying out the sentence preprocessing, deleting punctuation marks in a sentence, and carrying out the Chinese word segmentation of the sentence; (2) inputting the word sequence after Chinese word segmentation into a deep learning training model to generate a sentence word vector matrix; and (3) inputting the word vector matrix generated in the deep learning training model into a three-way decision classifier so as to obtain an emotion classification result predicted by the model. According to the method, the judgment result of the new sentiment sentence can be predicted according to previous judgment, and the method is widely applied to sentiment classification of social media comments.

Description

technical field [0001] The invention relates to computer social technology, in particular to a sentence emotion classification method based on deep representation technology and three-way decision-making. Background technique [0002] Sentence sentiment analysis, that is, the analysis of the sentiment orientation of sentences, is the process of analyzing, processing, inducing and inferring subjective sentences with emotional color. With the development of social media such as forums, blogs, and Twitter, human beings have a large amount of emotional data, and sentiment analysis technology is playing an increasingly important role. Sentence sentiment classification is an important task in natural language processing, which can be used for social media comments. Using technology to improve the accuracy of comment sentiment classification is crucial to understanding the intention of social media comments. [0003] As the expression forms of emotional sentences become more and m...

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Application Information

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IPC IPC(8): G06F16/35G06F40/289G06N3/04G06N3/08
CPCG06F16/35G06F40/289G06N3/08G06N3/045
Inventor 王磊臧小滨车春立王颖
Owner BEIJING INST OF COMP TECH & APPL
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