Research Article

Term Weighting Using Term Dependence

by  H. S. Dhami, Garima Srivastava, Raj Kishor Bisht
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Issue 11
Published: July 2010
Authors: H. S. Dhami, Garima Srivastava, Raj Kishor Bisht
10.5120/785-1113
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H. S. Dhami, Garima Srivastava, Raj Kishor Bisht . Term Weighting Using Term Dependence. International Journal of Computer Applications. 3, 11 (July 2010), 1-3. DOI=10.5120/785-1113

                        @article{ 10.5120/785-1113,
                        author  = { H. S. Dhami,Garima Srivastava,Raj Kishor Bisht },
                        title   = { Term Weighting Using Term Dependence },
                        journal = { International Journal of Computer Applications },
                        year    = { 2010 },
                        volume  = { 3 },
                        number  = { 11 },
                        pages   = { 1-3 },
                        doi     = { 10.5120/785-1113 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A H. S. Dhami
                        %A Garima Srivastava
                        %A Raj Kishor Bisht
                        %T Term Weighting Using Term Dependence%T 
                        %J International Journal of Computer Applications
                        %V 3
                        %N 11
                        %P 1-3
                        %R 10.5120/785-1113
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Performance of an information retrieval system depends on its weighting scheme. Weighting of a term can be seen in two aspects, local and global. For each type of weighting scheme, generally, single terms are considered. Term dependency is quite natural in a document. Word pairs or phrases can better describe a document in place of single terms. In the present paper an attempt has been made to study and quantify the dependency of terms to each other. Term dependency has been utilized to define a local weighting scheme for word pairs. Utility of the proposed weighting scheme has been shown by arbitrarily choosing some documents and extracting relevant word pairs from the documents.

References
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Weighting scheme Local weight Global weight

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