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Label automatic generation method based on meta-search engine

A meta-search engine and automatic generation technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of mixed information resources and search engines that cannot meet the individual needs of users, so as to ensure the recall rate, Guaranteed precision effect

Inactive Publication Date: 2017-05-17
HUNAN UNIV OF SCI & ENG
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  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the rapid development of the Internet industry and the maturity of search engines, various search engines have become a useful tool for people to obtain information. With the increase of users, the amount of information generated by the Internet has exploded. Resources are often mixed with various noises, and search engines cannot meet the individual needs of users

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  • Label automatic generation method based on meta-search engine
  • Label automatic generation method based on meta-search engine
  • Label automatic generation method based on meta-search engine

Examples

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Embodiment Construction

[0035] Based on the existing TextRank algorithm, the present invention proposes an improved TextRank algorithm to generate labels. This method consists of three stages, which are text preprocessing optimization, information amount calculation, and label extraction.

[0036] Algorithm improvement ideas: firstly, text preprocessing optimization, while performing Chinese word segmentation, retain the basic information of words, including part of speech, word position, word frequency, to form a five-tuple; secondly, word filtering, remove stop words, and perform part-of-speech filtering. Retain nouns, verbs, and gerunds based on experience to reduce noise interference; recalculate word information again, calculate word position score, word frequency, and word span through the statistical basic information of words, and calculate the comprehensive score as the weight of words; finally calculate words The similarity between them is used as the weight of the edge in the TextRank algo...

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Abstract

The invention discloses a label automatic generation method based on a meta-search engine. The method comprises the steps that firstly, text preprocessing optimization is conducted, Chinese word segmentation is conducted and meanwhile, basis information of words is saved and the basic information comprises part of speech, word position, word frequency of which quintuple is composed; secondly, the words are filtered, stop words are removed, part of speech filtration is conducted, and according to experience, noun, verb and gerund are kept and noise disturbance is reduced; word information quantity is recalculated again, by counting the word basic information, word position score, word frequency and word span are calculated and comprehensive score is calculated as weight of the words; finally, the similarity between words is calculated as edge weight in TextRank algorithm and the TextRank algorithm is used for calculating TextRank value of each word. According to the label automatic generation method based on the meta-search engine, the meta-search engine technology and automatic generation label are used, the automatic label technology is applied to the search engine and therefore recall ratio and precision ratio are guaranteed.

Description

technical field [0001] The invention relates to a method for obtaining tags, in particular to a method for automatically generating tags based on a meta search engine. Background technique [0002] In recent years, with the rapid development of the Internet industry and the maturity of search engines, various search engines have become a useful tool for people to obtain information. With the increase of users, the amount of information generated by the Internet has exploded. Resources are often mixed with various noises, and search engines cannot meet the individual needs of users. In order to make more effective use of these information resources, researchers have introduced "tag" technology, allowing users to search for the desired results more accurately, and screening effective information from massive information has gradually become a research hotspot. With the maturity of "labeling" technology, automatic labeling technology has also attracted the attention of scholar...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 唐雅媛罗恩韬唐亚纯高傲
Owner HUNAN UNIV OF SCI & ENG
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