alexa Abstract | An Approach for Word Sense Disambiguation using modified Naïve Bayes Classifier
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

Word Sense Disambiguation is a difficult task to perform in Natural Language Processing and it is the process of identifying the correct sense or correct meaning about a word. This is basically used in application like information retrieval, machine translation, information extraction because of its semantics understanding. There are various methods available in supervised approach to perform the disambiguaty of word. This papers described a Na?ve Bayes method of Supervised Learning Approach which is based on probabilistic method. The main emphasis of this paper is feature selection for disambiguation purpose. Here we have just tried to remove the stop words while selecting the feature set.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Abhishek Fulmari, Dr.ManojB. Chandak

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords