In this paper, a new information retrieval algorithm based on classification and key phrase extraction is proposed.

Applications of Hierarchical Keyword Extraction and Automated Text Classification in Bulletin Board System;

In this paper,the impacts of these elements on keyword extraction a.

The experimental test with self-compiled software indicates the algorithm improves the efficiency of automatic keyword extraction of Chinese sc.

The research can be summarized as follows:Firstly, for query-focus multi-document summarization, this paper proposed the strategy of summary sentence selection using keywords extraction.

This paper analyzes several existing Chinese word segmentation methods, brings out a keywords extraction algorithm which according to the weight formula.

The task of automatic keyword extraction is to use computer to automatically extract keywords that very effectively express the theme of the text document.

In this paper,we proposed an automatic keyword extraction method based on KNN method.

wordAbstract: This essay expounds the ways of classifying the key-abstract-word meanings of subjects in exposition and argumentation, and analyzes the relation between primary-meaning item and secondary-meaning items and between parallel secondary-meaning items and logical-classified standards in the light of English-writing subjects.