Text topic generation method and device and electronic equipment

A text and theme technology, applied in the field of text theme generation methods, devices and electronic equipment, can solve problems such as low accuracy and achieve the effect of improving accuracy

Pending Publication Date: 2020-06-05
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The text theme generation method, device and electronic equipment proposed in this application are used to solve the problem of using...

Method used

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  • Text topic generation method and device and electronic equipment
  • Text topic generation method and device and electronic equipment
  • Text topic generation method and device and electronic equipment

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Embodiment Construction

[0020] Exemplary embodiments of the present application are described below with reference to the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

[0021] Aiming at the problem in the related art that the method of using the LDA model to determine the text topic is more suitable for long text data, and the accuracy is low for short text, the embodiment of the present application proposes a text topic generation method.

[0022] The text subject generating method, apparatus, electronic device and storage med...

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Abstract

The invention provides a text topic generation method and device and electronic equipment, and relates to the technical field of intelligent search. The method comprises the steps: carrying out entitymining on a to-be-processed text, and obtaining entities contained in the to-be-processed text; determining each candidate entity corresponding to each entity contained in the to-be-processed text inthe knowledge graph through an entity link, clustering each candidate entity, and determining a core entity set corresponding to the to-be-processed text; based on the matching degree of each keywordin the to-be-processed text and each reference topic in a preset topic map, determining each candidate topic contained in the to-be-processed text; and according to the relevance between each core entity in the core entity set and the to-be-processed text and the relevance between each candidate topic and the to-be-processed text, obtaining the topic of the to-be-processed text from the core entity set and each candidate topic. Therefore, through the text topic generation method, more implicit topic information is mined, and the accuracy of text topic generation is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to the field of intelligent search technology, and proposes a text topic generation method, device and electronic device. Background technique [0002] In the related art, the text is usually analyzed through a Latent Dirichlet Allocation (LDA) model to determine the topic of the text. The LDA topic generation model, also known as the three-layer Bayesian probability model, contains a three-layer structure of words, topics and documents, and is used to identify the hidden topic information in large-scale document sets or corpora. Based on the bag-of-words model, LDA analyzes the distribution of words in the text and the topic distribution of words to determine the topic of the text. [0003] However, this method of determining the text topic is more suitable for long text data, and is less accurate for short texts. SUMMARY OF THE INVENTION [0004] The text topic gen...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F16/36G06F40/295
CPCG06F16/35G06F16/367G06N5/022G06F40/295G06F40/30Y02D10/00G06F16/36G06F40/279G06F40/258G06F16/355
Inventor 刘志洁汪琦冯知凡张扬朱勇
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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