spaCy Ecosystem
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.
Keywords
Languages
indonesian-ner-spacy
Fine-tuning SpaCy for Indonesian Named Entity Recognition (NER) with custom dataset
Healthcare-Diagnosis-Chatbot-MS-Hackathon
Built a chatbot capable of diagnosing common medical conditions based on user symptoms input
NER-Model-for-Company-Names-GOST-and-Product-Names-Detect
Модель NER для определения названий компаний, стандартов госта и названий товаров с точностью 97%
Talented-recruitment-and-skills-analysis-system
The project's goal is to help job seekers understand the basic qualifications for specific jobs and evaluate the suitability of their skills for those positions
Breakthrough-HIRE
The project aims to help job seekers understand the essential qualifications required for specific jobs and assess how well their skills match those positions
Kairyou
Quickly preprocesses Japanese text using NLP/NER from SpaCy for Japanese translation or other NLP tasks
concise-concepts
This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings
ner-annotator
GUI useful to manually annotate text for Named Entity Recognition purposes
extractacy
Spacy pipeline object for extracting values that correspond to a named entity (e
presidio-research
This package features data-science related tasks for developing new recognizers for Presidio
