Developer(s) Team NLTK Repository github.com/nltk/nltk | Initial release 2001 (2001) | |
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Original author(s) Stable release 3.2.2 / 31 December 2016; 2 months ago (2016-12-31) Preview release 3.0b2 / 21 August 2014; 2 years ago (2014-08-21) | ||
Mto on blast using python s natural language toolkit to model gossip blogs
The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It was developed by Steven Bird and Edward Loper in the Department of Computer and Information Science at the University of Pennsylvania. NLTK includes graphical demonstrations and sample data. It is accompanied by a book that explains the underlying concepts behind the language processing tasks supported by the toolkit, plus a cookbook.
Contents
- Mto on blast using python s natural language toolkit to model gossip blogs
- Library highlights
- References
NLTK is intended to support research and teaching in NLP or closely related areas, including empirical linguistics, cognitive science, artificial intelligence, information retrieval, and machine learning. NLTK has been used successfully as a teaching tool, as an individual study tool, and as a platform for prototyping and building research systems. There are 32 universities in the US and 25 countries using NLTK in their courses. NLTK supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities.