Chinese Keyword Extraction Method Based on Multi-features

doi:10.3969/j.issn.1006-2475.2013.04.004

Computer and Modernization ›› 2013, Vol. 1 ›› Issue (4): 15-17.doi: 10.3969/j.issn.1006-2475.2013.04.004

• 人工智能 • Previous Articles Next Articles

Chinese Keyword Extraction Method Based on Multi-features

HUANG Xuan^1,2, LI Wei¹

1. Department of Cognitive Science, Xiamen University, Xiamen 361005, China;2. Department of Economic Management, Zhangzhou Institute of Technology, Zhangzhou 363000, China

Received:2012-12-04 Revised:1900-01-01 Online:2013-04-17 Published:2013-04-17

Abstract

Abstract: Chinese keyword extraction is a worthy problem for study in natural language understanding. By using the TFR*IDF, part of speech, the first of the current position of features as the extraction characteristics of the Chinese document keywords extraction, while features of weight trained by the BP neural network, eventually it can get Chinese keyword. By analog simulation, it is proved that the method is effective.

Key words: keyword extraction, TFR*IDF, multi-features, BP neural network

CLC Number:

TP391

HUANG Xuan;LI Wei. Chinese Keyword Extraction Method Based on Multi-features[J]. Computer and Modernization, 2013, 1(4): 15-17.

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Chinese Keyword Extraction Method Based on Multi-features

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