Method for identifying websites and finely classifying web pages in medical field

Abstract

The invention relates to an internet search technology and aims to provide a method identifying websites and finely classifying web pages in the medical field. The method comprises an algorithm of extracting medical classification theme lexicon from a conventional website, an algorithm of scoring websites and web pages according to the classification theme lexicon, and an algorithm of performing classification according to scoring results. A scoring algorithm does not depend on word frequencies excessively according to content characteristics of the web pages. The classification algorithm is characterized in that the lexicon is obtained by training medical data, and the well trained data are used for scoring. According to the method, the websites related to medicine are extracted from a whole network, the web pages in the websites are classified, and web pages containing but not limited to doctors, diseases, drugs and news are extracted. The method can judge whether websites related to medicine belong to a certain classification rapidly and has the advantages that the calculation is simple, the calculation speed and the accuracy are high, and the like. Compared with similar inventions, the algorithms of the method cannot be affected by high-frequency words in the web pages, and cannot be limited by specific web page html (hypertext markup language) writing.

Description

technical field [0001] The invention relates to Internet search technology, in particular to a method for website identification and webpage subdivision oriented to the medical field. Background technique [0002] The functions of general search engines are becoming more and more abundant, which provides people with a lot of convenience, but when users need answers in a certain field, the search results often seem to be highly relevant, but in fact they cannot meet the needs of users. So vertical search engines came into being. Compared with the massive information of general search engines, vertical search engines are more focused, specific and in-depth. Webpage data in different fields are very different, and data structures in different fields in the Internet are very different. It is very complicated to design a unified vertical search engine for webpages in different fields. [0003] Many users need to query the characteristics and treatment methods of certain diseases...

AI Technical Summary

Problems solved by technology

However, word frequency does not necessarily play a decisive role in the medical field. For example, an article introducing a cold may only have the word cold in the title; an article introducing a doctor may appear in a large number of the doctor’s name instead of the doctor’s field. Descriptive vocabulary;

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