Keyword generation method and device, electronic equipment and computer storage medium

Abstract

The invention relates to an artificial intelligence technology, and discloses a keyword generation method, which comprises the following steps of obtaining text data, and identifying the text data by using a preset identifier to obtain a training data set; training by using the training data set to obtain a keyword generation model; receiving a to-be-processed text, extracting semantic information of the to-be-processed text by utilizing the keyword generation model, and generating a semantic vector by adopting an attention mechanism; and utilizing the keyword generation model, based on a preset penalty factor, performing keyword extraction on the semantic vector by adopting a cluster search mode, and outputting the extracted keywords. The invention further provides a keyword generation device and equipment and a computer readable storage medium. In addition, the invention also relates to a blockchain technology, and the text data can be stored in the blockchain node. According to the method and the device, the accuracy of keyword generation can be improved, the repeatability of the generated keywords is reduced, and the coherence between the generated keywords is enhanced.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a keyword generation method, device, electronic equipment and computer-readable storage medium. Background technique [0002] With the advent of the information age, the scale of the amount of information is getting larger and larger. When users browse information, they often need to filter information through topics, keyword information, etc. first. [0003] The current keyword generation methods mainly use unsupervised or extraction methods to extract keywords or topics from articles, but these methods have the following defects: specific word segmentation tools are required; the generated keywords are highly repetitive and not Coherent; the generated keywords are not highly correlated with the content summary of the article, that is, the accuracy is low. Contents of the invention [0004] The present invention provides a keyword generation method, de...

AI Technical Summary

Problems solved by technology

[0003] The current keyword generation methods mainly use unsupervised or extraction methods to extract keywords or topics from articles, but these methods have the following defects: specific word segmentation tools are required; the generated keywords are highly repetitive, and they are not Coherent; the generated keywords are not highly correlated with the content summary of the article, that is, the accuracy is low

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