Domain-knowledge-based short text classification method and text classification system

Abstract

The invention discloses a domain-knowledge-based short text classification method and a domain-knowledge-based short text classification system used in the technical field of information. The method is used for overcoming the defect that the traditional text classification method cannot well classify short texts. Aiming at the characteristics that the short text description concept signals are relatively weak and the text features are seriously insufficient, the invention provides the short text data classification method and the text classification system suitable for commodity web page data. According to the embodiment, a commodity classifier with excellent classification effect is obtained by reforming the traditional classifier, introducing new elements and devoting to matching application of algorithm and data. The introduction of the new elements comprises the following steps of: introducing a concept of domain words and introducing the concept into the classifier so as to effectively increase the information quantity of the short texts; and performing different-lexical-item-set-based semantic analysis on the short text data, particularly the web page commodity data, and introducing the semantic analysis result into the classifier so as to introduce new information for the commodity data information and improve the accuracy of text classification.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a text classification method and a text classification system based on domain knowledge. Background technique [0002] Today, with the rapid development of information technology, users can obtain a large amount of information through various channels. For example, by browsing the web, using search engines for information retrieval, and receiving emails, the problem that often occurs is that there is a large amount of data but lack of effective information. [0003] For example, when searching for a keyword in webpages such as Baidu and Google, a large number of webpage links containing the keyword are obtained. Among them, some webpage links can reflect that the corresponding webpage has content related to the keyword, and some webpage links correlation is poor. When users are unwilling or unable to traverse every piece of data due to the huge project, how to obtain effec...

AI Technical Summary

Problems solved by technology

Therefore, the text vector to be classified is brought into the classifier, and the feature information of the label class is relatively weak, resulting in a greatly increased classification error rate.

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