Text multi-view emotion classification method and system, terminal and storage medium

A sentiment classification, multi-perspective technology, applied in the field of sentiment analysis, can solve the problems of difficulty in obtaining manual annotation, time-consuming and laborious manual annotation, etc.

Active Publication Date: 2019-01-11
GUANGZHOU HKUST FOK YING TUNG RES INST
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Problems solved by technology

[0005] In view of the above problems, the purpose of the present invention is to provide a method, system, terminal and storage medium for text multi-view sentiment classification, which can solve the above-mentioned problems of time-consuming and labor-intensive use of manual labeling and difficulty in obtaining manual labeling

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  • Text multi-view emotion classification method and system, terminal and storage medium
  • Text multi-view emotion classification method and system, terminal and storage medium
  • Text multi-view emotion classification method and system, terminal and storage medium

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Embodiment Construction

[0059] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0060] Document-level multi-perspective sentiment classification (DMSC) aims to predict sentiment scores for each perspective of a document consisting of several sentences depicting one or more perspectives. Usually, document-level sentiment classification is implemented by supervised learning methods. Existing methods use the seeds of each viewpoint to extract viewpoint-related sentences, use a generative model to describe the generat...

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Abstract

The invention discloses a text multi-view emotion classification method and system, a terminal and a storage medium. The method includes: obtaining view word- emotional phrases and text expressions ina text; inputting the document representation into an encoder established by a variational auto-encoder VAE method to generate a discrete probability distribution of the emotional polarity of the view angle; inputting the visual angle word and the emotional polarity discrete probability distribution into a decoder established by a variational auto-encoder VAE method to generate the emotional wordprobability corresponding to the visual angle word; generating emotional polarities corresponding to the viewing angle by minimizing variational boundaries while simultaneously learning the encoder and the decoder. The invention can solve the problems that manual labeling is time-consuming and laborious, and it is difficult to obtain manual labeling in multi-view emotion classification method.

Description

technical field [0001] The invention relates to the field of sentiment analysis, in particular to a text multi-view sentiment classification method, system, terminal and storage medium. Background technique [0002] With the development of the Internet, a large number of user comments or messages have been generated on various shopping and travel websites or APP applications such as Taobao and Ctrip. These comments or messages express various emotional tendencies of users, such as praise, criticism, disgust, and liking. ; At present, more and more users are commenting on details, such as large color difference of clothes, non-standard size, poor front desk service in hotels, easy to get taxis nearby, etc. Some of these comments are at the sentence level, and some are at the document level. By analyzing the emotional tendencies in these comments or message texts, classifying the text content and obtaining trend information is very valuable to users, businesses and even govern...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F17/27
CPCG06F40/253G06F40/284
Inventor 曾子倩周文轩刘昕宋阳秋
Owner GUANGZHOU HKUST FOK YING TUNG RES INST
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