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spaCy

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.

Here are 7 public repositories matching this topic...

quanteda / spacyr

R wrapper to spaCy NLP

nlp r spacy extract-entities speech-tagging

Updated May 18, 2024
R

statsmaths / cleanNLP

R package providing annotators and a normalized data model for natural language processing

natural-language-processing spacy r-package corenlp

Updated May 20, 2024
R

Document-Analyzer-App

mlemineb / Document-Analyzer-App

A shiny application that analyzes financial documents (pdf format) using NLP and machine learning

python nlp machine-learning r sentiment-analysis scikit-learn spacy text-summarization entity-recognition

Updated Mar 6, 2022
R

statistikZH / statbot

statbot

Updated Mar 16, 2022
R

TracyRage / muddy_db

muddy_db - mud volcano database

nlp shiny spacy mining ncbi-taxonomy scispacy s2orc mud-volcano semantic-dashboard

Updated Nov 27, 2021
R

dlgranadosm / Text-processing-for-annotation

nlp pdf-converter spacy corpus-linguistics parts-of-speech-tagging

Updated May 8, 2023
R

srathnavel / bbnj-speech

Using machine learning to predict ocean health based on scraped BBNJ speech contents

nlp machine-learning r spacy xpath webscraping tidymodels

Updated Apr 3, 2024
R

Created by Explosion

Latest release about 2 months ago

Followers: 65 followers
Repository: explosion/spaCy
Website: spacy.io
Wikipedia: Wikipedia

Related Topics

dependency-parsing entity-linking lemmatization machine-learning named-entity-recognition natural-language-processing part-of-speech-tagging relation-extraction text-classification tokenization