NLTK
NLTK (Natural Language Toolkit)
NLTK (Natural Language Toolkit) is an open source Python library for natural language processing. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, tools for text classification, tokenization, stemming, tagging, parsing, semantic reasoning, and wrappers for machine learning libraries.
What is NLTK?
NLTK (Natural Language Toolkit) is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning.
NLTK is open source software released under the Apache 2.0 license. It features incremental parsers, corpus handling tools, support vector machines, hidden Markov models, unsupervised and semi-supervised classifiers, resolvers, clusterers and other machine learning algorithms.
Some of the key features and capabilities of NLTK include:
- Interfaces to corpora, lexical resources like WordNet, and ontologies
- Tokenizers for breaking text into words, sentences and paragraphs
- Text classifiers such as Naive Bayes, decision trees, maximum entropy
- Tools for analyzing syntax and structure of text
- Wrappers for many machine learning and statistical libraries
- Demos, recipes, exercises for learning NLP
NLTK supports rapid prototyping through interactive Python environments and interfaces. It is widely used in industry and academia for building Python programs to work with human languages and has an active community behind its development.
NLTK Features
Features
- Text processing libraries for tokenization, stemming, tagging, parsing, and semantic reasoning
- Interfaces to corpora and lexical resources like WordNet
- Classification, clustering, topic modeling, and other machine learning tools
- Support for over 50 languages
Pricing
- Open Source
Pros
Cons
Official Links
Reviews & Ratings
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