Part-of-speech and self-attention mechanism fused sentiment tendency classification method and system

A technology of emotional orientation and classification method, which is applied in the field of emotional orientation classification method and system integrating part-of-speech and self-attention mechanism, which can solve the problems of insufficient feature expression ability and neglect of features containing emotional information, etc., to improve the accuracy rate , Improving the effect of feature expression ability

Pending Publication Date: 2019-12-13
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0006] In view of this, the purpose of the present invention is to provide an emotional tendency classification method and system that integrates part-of-speech and self-attention...

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  • Part-of-speech and self-attention mechanism fused sentiment tendency classification method and system
  • Part-of-speech and self-attention mechanism fused sentiment tendency classification method and system
  • Part-of-speech and self-attention mechanism fused sentiment tendency classification method and system

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Embodiment Construction

[0052] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic concept of the present invention, and the following embodiments and the features in the embodiments can be combined with each other in the case of no conflict.

[0053] Wherein, the accompanying drawings are for illustrative purposes only, and represent only schematic diagrams, rather than physical drawings, and should...

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Abstract

The invention relates to a part-of-speech and self-attention mechanism fused emotion tendency classification method and system, and belongs to the technical field of natural language processing. The method comprises the following steps of S1, preprocessing a text, performing part-of-speech tagging while performing word segmentation, and removing stop words and useless characters; S2, performing vector representation on the preprocessed text; S3, learning semantic features of the text by utilizing a Transformer-Encoder model; S4, fusing part-of-speech attention to mine modification and matchingrelationships among words in sentences, and learning deeper emotion features; and S5, splicing the learned semantic features and sentiment features as final text features for sentiment tendency classification. Text features are learned based on a self-attention mechanism and part-of-speech attention is fused to expand emotion information to acquire richer emotion features. The feature expressioncapacity of the emotion tendency classification method is improved, and the classification accuracy is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of natural language processing, and relates to an emotional tendency classification method and system integrating part-of-speech and self-attention mechanism. Background technique [0002] With the rapid development and popularization of Internet technology, the demand for network content management, monitoring and harmful (or junk) information filtering is increasing. How to effectively analyze and deal with emotionally subjective texts in network information More and more attention. Sentiment orientation classification is to divide the text into two or several types of praise or derogation according to the meaning and emotional information expressed in the text, and it is the division of the author's tendency, viewpoint, and attitude. [0003] Since the emotional tendency classification can solve the disorderly phenomenon of various comment information on the Internet to a certain extent, it is convenient...

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Application Information

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IPC IPC(8): G06F17/27G06F16/35G06K9/62G06N3/04G06N3/08
CPCG06F16/35G06N3/08G06N3/044G06F18/241G06F18/2415
Inventor 程克非岳亚南
Owner CHONGQING UNIV OF POSTS & TELECOMM
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