Chinese text classification method based on attention mechanism and feature enhancement fusion

A text classification and attention technology, applied in computer parts, character and pattern recognition, special data processing applications, etc., can solve the problems of appropriate weight configuration, single processing granularity, uneven location distribution, etc., to improve the recognition ability , the effect of improving the effectiveness
CN108717439AInactive Publication Date: 2018-10-30HARBIN UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HARBIN UNIV OF SCI & TECH
Publication Date
2018-10-30
Estimated Expiration
Not applicable · inactive patent

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Abstract

The present invention provides a Chinese text classification method based on an attention mechanism and feature enhancement fusion, and belongs to the technical field of data mining. The Chinese textclassification method based on the attention mechanism and the feature enhancement fusion is characterized in that: a feature enhancement fusion Chinese text classification model based on the attention mechanism, a long short-term memory (LSTM) network and a convolutional neural network (CNN), and a feature difference enhanced attentional algorithm model are proposed; and according to the featureenhancement fusion Chinese text classification model, double-layer LSTM and CNN modules are used to sequentially perform enhancement fusion on the text features extracted by using the attention mechanism, the richness of the extracted text features can be continuously enhanced, and the contained text features can be more comprehensive and detailed, so that the recognition ability of the model to the Chinese text features is improved.
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Description

technical field

[0001] The invention relates to a Chinese text classification method based on attention mechanism and feature strengthening fusion, which belongs to the technical field of data mining. Background technique

[0002] With the popularization of Internet applications, the number of electronic documents on the Internet is growing rapidly; in order to quickly, accurately and comprehensively mine effective information from massive electronic documents, text classification technology has received widespread attention in recent years; Chinese texts are becoming more and more abundant, and the utilization rate of Chinese information is also increasing. Therefore, it is of great practical significance to automatically classify Chinese texts.

[0003] In the field of natural language processing, through the design and improvement of artificial intelligence-related algorithm models based on neural networks, the proposed algorithm model is more in line with the style chara...

Claims

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