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 1,627 public repositories matching this topic...
Showcase spaCy module limitation using 5 garden-path sentence (https://en.wikipedia.org/wiki/Garden-path_sentence
-
Updated
Jan 25, 2023 - Python
Code for sentence analysis and feature extraction using NLP
-
Updated
Sep 23, 2023 - Python
Python, spaCy module, word similarity, model compression( en_core_web_sm vs en_core_web_md)
-
Updated
Feb 12, 2023 - Python
spaCy NER trainer
-
Updated
Feb 15, 2017 - Perl
Attempt at NL to SQL
-
Updated
May 16, 2019 - Jupyter Notebook
Repository containing the code to my bachelor thesis about Neural Machine Translation
-
Updated
Dec 9, 2022 - Python
The detailed design for analyzing public opinion using Data Science uses Machine Learning, Data Collection and Cleaning, Topic Modelling, Summarizing and Visualizing data along with Temporal Analysis.
-
Updated
Dec 8, 2022 - Jupyter Notebook
Brewery review analysis and summarization with NLP - Springboard Data Science Career Track - April 2020 Cohort - Final Capstone
-
Updated
Jan 17, 2021 - Jupyter Notebook
Simple configuration to setup a local environment for Data Science projects.
-
Updated
Mar 8, 2021 - Dockerfile
Text mining movie scripts to explore long-term trend of female representation in movies according to the Bechdel test
-
Updated
Jul 5, 2021 - Python
My journey of learning NLP. Contains info about Basic NLP techniques, Hugging Face , GPT3and Spacy
-
Updated
Jun 25, 2021 - Jupyter Notebook
Analysis of blogposts in Python using Pandas, spaCy, and Seaborne, and scikit-learn.
-
Updated
Sep 18, 2021 - Python
Created by Explosion
Latest release about 2 months ago
- Followers
- 65 followers
- Repository
- explosion/spaCy
- Website
- spacy.io
- Wikipedia
- Wikipedia