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IBTC Model: A Model for classification of Queries

by Ankit Jain, Abhishek Raghuvanshi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 5
Year of Publication: 2013
Authors: Ankit Jain, Abhishek Raghuvanshi
10.5120/11577-6897

Ankit Jain, Abhishek Raghuvanshi . IBTC Model: A Model for classification of Queries. International Journal of Computer Applications. 68, 5 ( April 2013), 34-38. DOI=10.5120/11577-6897

@article{ 10.5120/11577-6897,
author = { Ankit Jain, Abhishek Raghuvanshi },
title = { IBTC Model: A Model for classification of Queries },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 5 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 34-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number5/11577-6897/ },
doi = { 10.5120/11577-6897 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:27:01.743883+05:30
%A Ankit Jain
%A Abhishek Raghuvanshi
%T IBTC Model: A Model for classification of Queries
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 5
%P 34-38
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Text classification is a way to categorize data in various classes, which shows some identical properties. Data can be easily utilized if once it is stored in well arranged manner. Classification task is used in text mining for mainly two reasons one for store data in well manner in categories and another is to retrieve data as per user requirement in few milliseconds i. e. searching. If data is store in proper place retrieving the data and its information can be retrieved in less time then unstructured data. In text classification if the target text which user wants to search is present in the form of sentence known as query, then it is difficult to search particular document [1]. This paper proposed IBTC model to provide efficiency to search when the target text in the form of query. The results and snapshots show validation and accuracy of proposed model.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Text Classification K-nn Method VSM

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