Python NLTK Introduction














































Python NLTK Introduction



                             INTRODUCTION TO NLTK



NLTK:-Natural Language Toolkit.

NLTK is a leading platform for building Python programs to work with human language

data.

This library was developed by Steven Bird and Edward Loper at the University of Pennsylvania and played a key role in breakthrough NLP research.

Many universities around the globe now use NLTK, Python libraries, and other tools in their courses.

NLTK is suitable for linguists, engineers, students, educators, researchers,

and industry users alike.

NLTK is available for Windows, Mac OS X, and Linux. Best of all, NLTK is free,
open-source, community-driven project.

NLTK has been called 'a wonderful tool for teaching, and working in, computational
linguistics using Python' and 'Can amazing library to play with natural
language.'.

What NLTK provides?

NLTK is an essential library that supports tasks such as classification, stemming, tagging, parsing, semantic reasoning, and tokenization in Python.

provides easy-to-use interfaces such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum.

Some simple things you can do with NLTK

Tokenize and tag some text:


Conclusion:

NLTK library is the best library in python to know human language data to the machine. It used in machine learning.


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