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Chinese patent classification based on sense disambiguation and manifold learning

Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2012-05-15

Journal: Journal of Computational Information Systems

Included Journals: Scopus、EI

Volume: 8

Issue: 10

Page Number: 4339-4346

ISSN: 15539105

Abstract: Currently, patent data have gained increasing attention in the data mining area. However, the traditional method was set by many factors in patent classification, such as professional terms and high dimensions. In this article, we propose a word sense disambiguation model, which would effectively reduce the structure of the traditional machine word. The experimental result shows that the semantic disambiguation and feature reduction strategy can effectively improve the classification accuracy. ? 2011 by Binary Information Press.

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