UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 3 Issue 9
October-2016
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1809835


Registration ID:
189427

Page Number

265-279

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Title

A SURVEY ON TEXT MINING TECHNIQUES FOR RETRIEVING INFORMATION FROM WEB PAGES

Abstract

Information Retrieval (IR) is a rapidly rising domain in Natural Language Processing (NLP), wherein search engines are the most popular as well as useful applications. Some engines such as Google or AltaVista are utilized by several individuals in their day to day lives. Research within the domain of Information retrieval has centred on certain important problems which retain importance in the age of commercial web search engines that work with millions of web pages. This review article addresses the issues in web page classification over the last two decades.

Key Words

A SURVEY ON TEXT MINING TECHNIQUES FOR RETRIEVING INFORMATION FROM WEB PAGES

Cite This Article

"A SURVEY ON TEXT MINING TECHNIQUES FOR RETRIEVING INFORMATION FROM WEB PAGES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 9, page no.265-279, October-2016, Available :http://www.jetir.org/papers/JETIR1809835.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A SURVEY ON TEXT MINING TECHNIQUES FOR RETRIEVING INFORMATION FROM WEB PAGES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 9, page no. pp265-279, October-2016, Available at : http://www.jetir.org/papers/JETIR1809835.pdf

Publication Details

Published Paper ID: JETIR1809835
Registration ID: 189427
Published In: Volume 3 | Issue 9 | Year October-2016
DOI (Digital Object Identifier):
Page No: 265-279
Country: --, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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