NLTK

NLTK

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 reasoni
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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

  1. Text processing libraries for tokenization, stemming, tagging, parsing, and semantic reasoning
  2. Interfaces to corpora and lexical resources like WordNet
  3. Classification, clustering, topic modeling, and other machine learning tools
  4. Support for over 50 languages

Pricing

  • Open Source

Pros

Comprehensive set of NLP capabilities

Well documented

Active open source community

Beginner friendly

Cons

Can be slow for large scale production applications

Not as efficient as other Python NLP libraries like spaCy

Some more advanced NLP features need extra configuration/work

Official Links

Official Website
https://www.nltk.org/

The Best NLTK Alternatives

Top Ai Tools & Services and Natural Language Processing and other similar apps like NLTK

Here are some alternatives to NLTK:

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spaCy
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Amazon Comprehend
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TextBlob
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NLP Cloud
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OpenNLP
Polyglot NLP icon
Polyglot NLP
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SpaCy icon

SpaCy

spaCy is an open-source natural language processing library for Python. It provides pre-trained state-of-the-art convolutional neural network models for major natural language processing tasks including:TokenizationPart-of-speech taggingNamed entity recognitionDependency parsingSentiment analysisText classificationWord vectors and semantic similarityKey features of spaCy include:Fast and memory-efficient deep learning models for GPU and CPUEasy to install,...
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Amazon Comprehend icon

Amazon Comprehend

Amazon Comprehend is a robust natural language processing (NLP) cloud service offered by Amazon Web Services (AWS). It utilizes pre-trained machine learning models to process and analyze natural language text at scale and extract meaningful insights.Some of the key features of Amazon Comprehend include:Sentiment analysis - Automatically detect the overall...
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TextBlob

TextBlob is an open-source Python library for processing textual data. It builds on top of NLTK and pattern library, providing a simple API for common natural language processing (NLP) tasks.Some key features of TextBlob include:Part-of-speech tagging and noun phrase extraction. TextBlob can identify parts of speech (e.g. verbs, nouns, adjectives)...
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NLP Cloud

NLP Cloud is a cloud-based natural language processing platform that provides developers with easy access to cutting-edge NLP models via a simple API. It handles all the complex machine learning infrastructure and allows developers to focus on building their NLP applications.Key features of NLP Cloud include:Pre-trained NLP models for tasks...
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OpenNLP icon

OpenNLP

OpenNLP is an open-source Java library for natural language processing (NLP). It provides a wide range of NLP tasks, allowing developers to build applications that can understand and analyze text.Some of the key features and capabilities of OpenNLP include:Tokenization - splitting text into words, punctuation marks, etc.Part-of-speech tagging - labeling...
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Polyglot NLP icon

Polyglot NLP

Polyglot NLP is a comprehensive natural language processing framework for multilingual applications. It was developed by Ravi Sankar at the University of Washington.Some key features of Polyglot NLP include:Supports over 100 languages including English, Spanish, French, German, Chinese, Arabic and many more.Named Entity Recognition to identify people, organizations, locations and...
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PyNLPl

PyNLPl is an open-source Python library focused on natural language processing. It was originally developed at Radboud University and provides a suite of NLP modules and tools for common language processing tasks.Some key features and capabilities of PyNLPl include:Tokenization and sentence splittingPart-of-speech taggingNamed entity recognitionText classification using algorithms like Naive...
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