Method and system for analyzing text information law of search engine

A text information and search engine technology, applied in the field of Internet applications, can solve problems such as difficulties, errors, and unclear rules of words, and achieve the effect of high accuracy

Active Publication Date: 2018-12-18
CHONGQING IND POLYTECHNIC COLLEGE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of this, the purpose of this application is to propose a text information rule analysis method and system for search engines, to solve the search engine problems caused

Method used

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  • Method and system for analyzing text information law of search engine
  • Method and system for analyzing text information law of search engine
  • Method and system for analyzing text information law of search engine

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Embodiment Construction

[0041] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0042] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0043] As an example of this application, such asfigure 1 As shown, it is a flow chart of the method for analyzing text information rules used in search engines according to Embodiment 1 of the present application. As can be seen from the figure, the text information rule an...

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Abstract

The present application provides a text information rule analysis method for a search engine, which comprises the following steps: acquiring text of a natural language original document; carrying outfeature extraction on the text of the natural language original document to generate a text feature vector; using a pre-trained vector matching model to match the text with a sample in a sample library according to the text feature vector to obtain a target sample; determining a semantic distribution rule mode of the text by using a pre-trained semantic distribution rule mode according to the consistency of the text features between the original document of the sample of the target sample and the corresponding index set of the target sample, and determining a semantic distribution rule mode ofthe text; According to the semantic distribution pattern of the text, the text of the natural language original document is converted into an index set. A system for analyzing textual information patterns is also provided. The present application realizes the discovery of the word distribution rule of the bearing core semantics of the original document of the natural language, and realizes the search engine index term extraction with high accuracy.

Description

technical field [0001] The present application relates to the technical field of Internet applications, in particular to a method and system for analyzing text information rules used in search engines. Background technique [0002] Search engines are a necessary tool for people to obtain the knowledge and information they need from the massive data on the Internet. Search engines were first produced by the search demand for text information, and currently text information search is still one of the main functions of search engines. [0003] In the search process of text information, the search engine extracts the index items from the original documents in the Internet by the indexer. The index items are generally several words that appear in the original documents, and store the index items and their corresponding original document links in the index table. . Furthermore, through the retriever, the matching index items are queried in the index library according to the user...

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Application Information

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IPC IPC(8): G06F17/30G06F17/27G06N3/08
CPCG06N3/08G06F40/289G06F40/30
Inventor 郑燕
Owner CHONGQING IND POLYTECHNIC COLLEGE
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