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 es una biblioteca de reconocimiento de entidades nombradas en JavaScript y extractor de entidades de texto. Funciona como un motor de análisis de texto extensible diseñado para escanear cadenas no estructuradas en busca de patrones de datos específicos y convertirlos en información estructurada. El motor utiliza un framework modular que permite el reconocimiento de tipos de datos personalizados. Esto se logra mediante un sistema de plugins para la coincidencia de patrones de lenguaje, permitiendo la integración de lógica personalizada para identificar tipos de datos únicos dentro del texto. La biblioteca identifica y aísla entidades como fechas, horas, números de teléfono, correos electrónicos y ubicaciones. Sus capacidades cubren el análisis de texto automatizado y la extracción de información de contacto transformando texto crudo en datos categorizados.

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…