International Journal of Application or Innovation in Engineering & Management
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ISSN 2319 – 4847
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Call for Paper, Published Articles, Indexing Infromation A REVIEW ON WEB MINING TECHNIQUES FOR ALIAS RECOMMENDATION, Authors : Ms. Mayuri S. Bawane, Prof.Monika Rajput, International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 3, Issue 11, November 2014

Title:
A REVIEW ON WEB MINING TECHNIQUES FOR ALIAS RECOMMENDATION
Author Name:
Ms. Mayuri S. Bawane, Prof.Monika Rajput
Abstract:
ABSTRACT Most of the celebrities and experts from different fields are generally referred by their personal names but they can also be referred by their aliases on the web. If we want to retrieve complete information about a particularperson then aliases plays an important role in information retrieval. Numbers of methods have been used to extract the information of the person. Suppose a person have the aliases or the nicknames then it is not easy to retrieve whole information. A large number of algorithms & methods have been developed in previous yearsfor extracting relations of persons, for detecting the groups of persons, and forobtaining keywords for a person. Recognizing the various aliases of an entity is a critical task for many applications, including Web search and e-discovery. Therefore we need to accurately identify entity aliases, especially the long tail one`s in the unstructured data. This paper includes the overview of various methods for detecting the aliases of an entity. To address this important need we would be using NLP ie Natural Language processor which would perform Parts of Speech Tagging (POS Tagging), and Chunking of data (extraction of only action words from the input sentence). Keywords: entity aliases, web search, e-discovery, NLP, POS.
Cite this article:
Ms. Mayuri S. Bawane, Prof.Monika Rajput , " A REVIEW ON WEB MINING TECHNIQUES FOR ALIAS RECOMMENDATION " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 11, November 2014 , pp. 105-108 , ISSN 2319 - 4847.
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