The process of finding the correct sense of a word in context is known as word sense disambiguation (WSD). In the field of natural language processing, WSD has become a growing research area. Over the decades, so many researchers have proposed the many approaches to WSD. A development of this field has created the significant impact on several Web-based applications such as information retrieval and information extraction. This paper contains the description of various approaches such as knowledge-based, supervised, unsupervised and semi-supervised. This paper also describes the various applications of WSD, such as information retrieval, machine translation, speech recognition, computational advertising, text processing, classification of documents and biometrics.

Chandra Ganesh

Sanjay K. Dwivedi

Satya Bhushan Verma

A Systematic Analysis of Various Word Sense Disambiguation Approaches

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Journal Info

Category	Quartile
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	3