AntoineSimoulin/m2-data-sciences
Cours de M2 Data Sciences - Traitement Automatique de la Langue Naturelle
This is a course curriculum for those looking to understand Natural Language Processing using statistical methods. It provides practical exercises and theoretical insights into topics like text vectorization, text classification, topic detection, and word embeddings. Students or data science practitioners will find this useful for gaining a foundational understanding of NLP.
No commits in the last 6 months.
Use this if you are a student or data science practitioner who needs to learn the foundational statistical methods in Natural Language Processing, including hands-on experience with text data.
Not ideal if you are solely interested in advanced deep learning techniques for NLP, as this course focuses on statistical methods and only briefly introduces deep learning concepts.
Stars
8
Forks
—
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Nov 17, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/AntoineSimoulin/m2-data-sciences"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
dessertlab/cti-to-mitre-with-nlp
Replication package for the paper "Automatic Mapping of Unstructured Cyber Threat Intelligence:...
JasonKessler/Scattertext-PyData
Notebooks for the Seattle PyData 2017 talk on Scattertext
maastrichtlawtech/law3027-advanced-legal-analytics
π Materials for Advanced Legal Analytics (LAW3027) @ Maastricht University.
HanyangTechAI/2022_Project_Team1
2022 HAI 1ν νλ‘μ νΈ λ°©μΈ λ²μκΈ° κ°λ°μ μν λ ν¬μ§ν 리μ λλ€.
ds-modules/LEGAL-190-FA22
UC Berkeley LEGALST 190 Fall 2022