NDLI: Local Word Bag Model for Text Categorization

Content Provider	IEEE Xplore Digital Library
Author	Wen Pu Ning Liu Shuicheng Yan Jun Han Kunqing Xie Zheng Chen
Copyright Year	2007
Description	Author affiliation: Microsoft Res. Asia, Beijing (Ning Liu; Jun Han; Zheng Chen) \|\| Univ. of Illinois, Urbana-Champaign (Shuicheng Yan) \|\| Peking Univ., Peking (Wen Pu; Kunqing Xie)
Abstract	Many text processing applications adopted the bag of words (BOW) model representation of documents, in which each document is represented as a vector of weighted terms or n-grams, and then the cosine distance between two vectors is used as the similarity measurement. Although the great success in information retrieval and text categorization, the conventional BOW model ignores the detailed local text information, i.e. the co-occurrence pattern of words at sentence or paragraph level. In this paper, we propose a novel approach to represent a document as a set of local tf-idf vectors, or what we called local word bags (LWB). By encapsulating local information distributed around a document into multiple LWBs, we can measure the similarity of two documents via the partial match of their corresponding local bags. To perform the matching efficiently, we introduce the local word bag kernel (LWB kernel), a variant of VG-Pyramid match kernel. The new kernel enables the discriminative machine learning methods like SVM to compute the partial matching between two sets of LWBs in linear time after an one time hierarchical clustering procedure over all local bags at the initialization stage. Experiments on real world datasets demonstrate the effectiveness of our new approach.
Starting Page	625
Ending Page	630
File Size	499626
Page Count	6
File Format	PDF
ISBN	9780769530185
ISSN	15504786
DOI	10.1109/ICDM.2007.69
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text categorization Kernel Support vector machines Extraterrestrial measurements Data mining Laboratories Machine intelligence Asia Data engineering Text processing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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