NDLI: Query-relevant document representation for text clustering

Content Provider	IEEE Xplore Digital Library
Author	Makrehchi, M.
Copyright Year	2010
Description	Author affiliation: Thomson Reuters, 610 Opperman Dr., Eagan, MN 55123 (Makrehchi, M.)
Abstract	In text categorization, one well-known document representation is bag-of-words. Although it is simple and popular, it ignores semantics, underlying linguistic information, and word correlations. In this paper, a new representation for text data is proposed which is called Bag-Of-Queries (BOQ). First, a taxonomy of the terms in the local vocabulary is extracted. Extracting a taxonomy is performed by learning term dependencies using an information theoretic inclusion index. Next, the taxonomy is partitioned to generate a set of correlated terms or bag of queries. Since every two partitions belong to different concepts, they are considered seman-tically orthogonal queries. This provides a new space of orthogonal features, which is necessary for an efficient categorization. Finally, instead of using terms as features, we use them to build a set of queries. Documents are ranked in response to the queries using a similarity measure. The similarity indices are considered as new features in a vector space model representation. The proposed approach outperforms bag of word based clustering. It also extracts new non-redundant features and at the same time reduces dimensionality.
Starting Page	132
Ending Page	138
File Size	180089
Page Count	7
File Format	PDF
ISBN	9781424475728
e-ISBN	9781424475735
DOI	10.1109/ICDIM.2010.5664205
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vocabulary Taxonomy Semantics Text categorization Indexes Mutual information
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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