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Natural Language Processing using NLTK and WordNet
Published in Tech Science Publications
2015
Volume: 6.0
   
Issue: 6.0
Pages: 5465.0 - 5469.0
Abstract
Natural Language Processing is a theoretically motivated range of computational techniques for analysing and representing naturally occurring texts at one or more levels of linguistic analysis for the purpose of achieving human-like language processing for a range of tasks or applications [1]. To perform natural language processing a variety of tools and platform have been developed, in our case we will discuss about NLTK for Python.The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for the Python programming language[2]. It provides easy-to-use interfaces to many corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning. In this paper we discuss different approaches for natural language processing using NLTK.
About the journal
JournalInternational Journal of Computer Science and Information Technologies
PublisherTech Science Publications
Open Access0