NLP Compromise

NLP Compromise

NLP Compromise is an open-source natural language processing library for JavaScript. It features parts-of-speech tagging, lemmatization, named entity recognition, sentiment analysis, syntax parsing, and more, designed to understand English text.
NLP Compromise screenshot

NLP Compromise: Open-Source NLP Library for JavaScript

NLP Compromise is an open-source natural language processing library for JavaScript. It features parts-of-speech tagging, lemmatization, named entity recognition, sentiment analysis, syntax parsing, and more, designed to understand English text.

What is NLP Compromise?

NLP Compromise is an open-source natural language processing library written in JavaScript. It allows developers to easily add NLP capabilities to their applications and websites.

Some of the key features of NLP Compromise include:

  • Part-of-speech tagging - Automatically tag words with their part of speech (noun, verb, adjective, etc.)
  • Lemmatization - Reduce words to their base form to aid analysis
  • Named entity recognition - Identify people, organizations, locations, dates, and more in text
  • Sentiment analysis - Detect positive, negative and neutral sentiment
  • Syntactic analysis - Extract subjects, objects, clauses from sentences
  • Multilingual support - Also works with German, French and Spanish text

NLP Compromise is designed to be lightweight and easy to use. It balances accuracy and performance by using pre-trained machine learning models. The project is under active development on GitHub.

Overall, NLP Compromise is a great choice for developers wanting to add NLP to their JavaScript web apps and sites without needing to connect external APIs or services.

NLP Compromise Features

Features

  1. Parts-of-speech tagging
  2. Lemmatization
  3. Named entity recognition
  4. Sentiment analysis
  5. Syntax parsing

Pricing

  • Open Source

Pros

Open source

Written in JavaScript so can be used for web applications

Good documentation

Active development

Cons

Not as accurate as some commercial NLP libraries

Limited to English language support

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