How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
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.
The main features of twitter/twitter-text are: Natural Language Processing, JavaScript NLP Libraries, Text Processing.
Open-source alternatives to twitter/twitter-text include: life4/textdistance — 📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external… mozillazg/go-pinyin — 汉字转拼音. axa-group/nlp.js — nlp.js is a JavaScript natural language processing library and development framework used to build natural language… jdkato/prose — :book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity… abadojack/whatlanggo — Natural language detection library for Go. mozillazg/python-pinyin — python-pinyin is a Python library for transliterating simplified and traditional Chinese characters into phonetic…
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
:book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
