Volume & Issue no: Volume 3, Issue 11, November 2014
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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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