NDLI: Text classification and minimal-bias training vectors

Content Provider	IEEE Xplore Digital Library
Author	Ahmad, K. Bale, T.A. Burford, D.
Copyright Year	1999
Description	Author affiliation: Surrey Univ., Guildford, UK (Ahmad, K.)
Abstract	The categorisation of text using neural networks has been pursued in the context of emerging digital libraries. Frequency of key terms in a document set are used to create training vectors and a feature map can be trained such that texts are topologically ordered. The choice of training vectors and training regimes remains an open question in neural network research. In order to minimise training bias we have developed a method which uses the linguistic characteristics of domain-specific texts for the creation of training vectors. This method has been evaluated by classifying a standard free-text document set (TIPSTER's SUMMAC AP news wire collection) using a Kohonen feature map. This method is particularly relevant to the domain of financial prediction, considering the large volume of news reports available to financial analysts.
Starting Page	2816
Ending Page	2819
File Size	296638
Page Count	4
File Format	PDF
ISBN	0780355296
ISSN	10987576
DOI	10.1109/IJCNN.1999.833528
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-07-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Text categorization Wire Drugs Neural networks Frequency Terrorism Vocabulary Software libraries Instruments Environmental factors
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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