Tendency text automatic classification system and achieving method of the same

Abstract

The invention provides a tendency text automatic classification system and an achieving method of the same, and relates to the field of natural language processing technology, text data mining, and text automatic classification technology. The system comprises a dependence relationship analysis module, a Chinese word segmentation module, a sentence structure analysis module and a multi-layer emotion classification sentence module library, wherein the dependence relationship analysis module is used for dependence relationship analysis of Chinese sentences, the Chinese word segmentation module is used for work segmentation of the Chinese sentences, the sentence structure analysis module is used for sentence structure analysis of the Chinese sentences after work segmentation, and the multi-layer emotion classification sentence module library is used for management of business related knowledge. The tendency text automatic classification system is characterized in that the multi-layer emotion classification sentence module library is divided into 3 large classes and 120 small classes, the three classes are attitude grammar, feeling grammar and thought grammar, and the multi-layer emotion classification sentence module library is sorted in manual mode according to Chinese using rules and the business related knowledge. Sentence structure analysis of all sentence models in the multi-layer emotion classification sentence module library is conducted to build a sentence structure Treebank, and dependence relationship analysis of all the sentence models in the multi-layer emotion classification sentence module library is conducted to form a dependence relationshipgallery.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, text data mining, and text automatic classification technology, in particular to an automatic text classification system for tendencies, in particular to an automatic text classification system for tendencies based on syntax and dependencies. Background technique [0002] Automatic classification of text data is an important application field of artificial intelligence technologies such as text data mining and natural language processing. Its main function is to convert unstructured text data stored in digital form through natural language processing technology and text data mining technology Automatically classify according to pre-organized categories related to specific businesses. With the continuous development of information technology and the continuous deepening of the application scope of information systems, automatic classification of text data is an importan...

AI Technical Summary

Problems solved by technology

[0004] More specifically, for industries that need to process a large amount of text data, with the development of various digital businesses, the demand will continue to increase, accompanied by the increase in the labor intensity of traditional manual processing methods, how to process in massive data Mining users' emotions about products, and discovering users' interests and needs are direct challenges faced by the big data processing industry

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