A Novel Document Analysis Method Using Compressibility Vector

Authors:
Nuo Zhang;Toshinori Watanabe;Daisuke Matsuzaki;Hisashi Koga
Affiliations:
-;-;-;-
Venue:
ISDPE '07 Proceedings of the The First International Symposium on Data, Privacy, and E-Commerce
Year:
2007

Citing 0
Cited 1

Exploration of document relation quality with consideration of term representation basis, term weighting and association measure

PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Similarity analysis and keyword extraction are widely used as document relation analysis techniques. These meth- ods are based on dictionary-base morphological analysis. However, they cannot meet the need when Internet grows fast and new words appear but dictionary can not be re- newed fast enough. In this study, we propose a new doc- ument relation analysis method based on the document's compressibility. The effectiveness of the proposed method will be examined in simulations.