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, and a suite of text processing libraries for various tasks in Natural Language Processing (NLP). Features.css-196imzh{list-style:none;margin:0;padding:0;position:relative;padding-top:8px;padding-bottom:8px;list-style-type:disc;padding-left:16px;}.css-196imzh .MuiListItem-root{display:-webkit-box;display:-webkit-list-item;display:-ms-list-itembox;display:list-item;}.css-8k4qb7{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:start;-ms-flex-pack:start;-webkit-justify-content:flex-start;justify-content:flex-start;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;position:relative;-webkit-text-decoration:none;text-decoration:none;width:100%;box-sizing:border-box;text-align:left;padding-top:8px;padding-bottom:8px;padding-left:16px;padding-right:16px;padding:0px;}.css-8k4qb7.Mui-focusVisible{background-color:rgba(255, 255, 255, 0.12);}.css-8k4qb7.Mui-selected{background-color:rgba(14, 165, 233, 0.16);}.css-8k4qb7.Mui-selected.Mui-focusVisible{background-color:rgba(14, 165, 233, 0.28);}.css-8k4qb7.Mui-disabled{opacity:0.38;}.css-1tsvksn{-webkit-flex:1 1 auto;-ms-flex:1 1 auto;flex:1 1 auto;min-width:0;margin-top:4px;margin-bottom:4px;}.css-yb0lig{margin:0;font-family:"Roboto","Helvetica","Arial",sans-serif;font-weight:400;font-size:1rem;line-height:1.5;letter-spacing:0.00938em;display:block;}Text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning.Wrappers for industrial-strength NLP libraries.An active discussion forum for users to discuss and resolve issues.A hands-on guide introducing programming fundamentals alongside topics in computational linguistics, plus comprehensive API documentation. Text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning.Wrappers for industrial-strength NLP libraries.An active discussion forum for users to discuss and resolve issues.A hands-on guide introducing programming fundamentals alongside topics in computational linguistics, plus comprehensive API documentation. Wrappers for industrial-strength NLP libraries.An active discussion forum for users to discuss and resolve issues.A hands-on guide introducing programming fundamentals alongside topics in computational linguistics, plus comprehensive API documentation. An active discussion forum for users to discuss and resolve issues.A hands-on guide introducing programming fundamentals alongside topics in computational linguistics, plus comprehensive API documentation. A hands-on guide introducing programming fundamentals alongside topics in computational linguistics, plus comprehensive API documentation. Use CasesNLTK is suitable for a wide range of users including linguists, engineers, students, educators, researchers, and industry users. Some of the things you can do with NLTK include: NLTK is suitable for a wide range of users including linguists, engineers, students, educators, researchers, and industry users. Some of the things you can do with NLTK include: Tokenize and tag text: Break down text into words, phrases, symbols, or other meaningful elements (tokens) and assign parts of speech to each token (tagging).Identify named entities: Recognize and categorize words that represent proper nouns (named entities) such as person names, organization names, locations etc.Display a parse tree: Visualize the grammatical structure of a sentence. Identify named entities: Recognize and categorize words that represent proper nouns (named entities) such as person names, organization names, locations etc.Display a parse tree: Visualize the grammatical structure of a sentence. Display a parse tree: Visualize the grammatical structure of a sentence. Additional InformationNLTK has been praised as a wonderful tool for teaching and working in computational linguistics using Python, and an amazing library to play with natural language. The creators of NLTK have also written a book titled "Natural Language Processing with Python" which provides a practical introduction to programming for language processing. The online version of the book has been updated for Python 3 and NLTK 3. NLTK has been praised as a wonderful tool for teaching and working in computational linguistics using Python, and an amazing library to play with natural language. The creators of NLTK have also written a book titled "Natural Language Processing with Python" which provides a practical introduction to programming for language processing. The online version of the book has been updated for Python 3 and NLTK 3.