spaCy is a free library for advanced Natural Language Processing (NLP) in Python. It’s designed specifically for production use and helps you build applications that process and “understand” large volumes of text. It can be used to build information extraction or natural language understanding systems.
Cookiecutter API for creating Custom Skills for Azure Search using Python and Docker
Asent is a python library for performing efficient and transparent sentiment analysis using spaCy
This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings
Pipeline component for spaCy (and other spaCy-wrapped parsers such as spacy-stanza and spacy-udpipe) that adds CoNLL-U properties to a Doc and its sentences and tokens
A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy
spaCy-wrap is a wrapper library for spaCy for including fine-tuned transformers from Huggingface in your spaCy pipeline allowing you to include existing fine-tuned models within your SpaCy workflow
A text analysis application for performing common NLP tasks through a web dashboard interface and an API
[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc
Use machine learning to make your institutional communication more understandable and inclusive
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020