Awesome GitHub RepositoriesJavaScript NLP Libraries

Compromise is a natural language processing library and rule-based text parser designed to analyze unstructured text. It functions as a toolkit for identifying parts of speech, linguistic patterns, and semantic meaning, while providing specialized engines for named entity recognition and the parsing of temporal and numeric data. The project is distinguished by its linguistic morphological engine, which can conjugate verbs across different tenses and inflect nouns and adjectives. It further allows for linguistic model customization through a plugin system that enables the extension of lexicons

Natural is a natural language processing library for Node.js that provides tools for text analysis, tokenization, and phonetic matching. It functions as a collection of specialized toolsets for word stemming, string similarity quantification, and pattern-based text classification. The library includes a phonetic sound analyzer that converts words into phonetic representations to identify matches based on sound rather than literal spelling. It also features a text classification engine that assigns categories to text inputs using trained models and pattern recognition. Additional capabilities

nlp.js is a JavaScript natural language processing library and development framework used to build natural language understanding engines. It provides a toolkit for creating local machine learning models for intent classification and acts as a multilingual text processor that detects languages and normalizes text across various dialects. The framework distinguishes itself by supporting local execution on both servers and mobile devices, enabling chatbot functionality without an internet connection. It features a specialized system for conversational slot filling to collect mandatory informati

Knwl.js est une bibliothèque JavaScript de reconnaissance d'entités nommées et un extracteur d'entités textuelles. Il fonctionne comme un moteur d'analyse de texte extensible conçu pour scanner des chaînes non structurées à la recherche de modèles de données spécifiques et les convertir en informations structurées. Le moteur utilise un framework modulaire qui permet la reconnaissance de types de données personnalisés. Ceci est réalisé via un système de plugins pour la correspondance de modèles de langage, permettant l'intégration d'une logique personnalisée pour identifier des types de données uniques au sein du texte. La bibliothèque identifie et isole des entités telles que les dates, les heures, les numéros de téléphone, les e-mails et les lieux. Ses capacités couvrent l'analyse de texte automatisée et l'extraction d'informations de contact en transformant du texte brut en données catégorisées.

Twitter Text Libraries. This code is used at Twitter to tokenize and parse text to meet the expectations for what can be used on the platform.

natural language processor powered by plugins part of the @unifiedjs collective

A web-based annotation tool for natural language processing (NLP)

This package leverages the power of the 🤗Tokenizers library (built with Rust) to process the input text. It then uses TensorFlow.js to run the DistilBERT-cased model fine-tuned for Question Answering (87.1 F1 score on SQuAD v1.1 dev set, compared to 88.7 for BERT-base-cased). DistilBERT is used…