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An Approach for Word Sense Disambiguation usingmodified Naïve Bayes Classifier
| Content Provider | Semantic Scholar |
|---|---|
| Author | Fulmari, Abhishek Ch, Dr. Manoj B. |
| Copyright Year | 2014 |
| 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. |
| Starting Page | 3867 |
| Ending Page | 3870 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| Volume Number | 2 |
| Alternate Webpage(s) | http://www.rroij.com/open-access/an-approach-for-word-sense-disambiguation-usingmodified-nave-bayes-classifier.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
