dlab-berkeley/Python-Text-Analysis-Fundamentals
D-Lab's 9 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word embeddings, and more, using scikit-learn, NLTK, gensim, and spaCy in Python.
Jupyter NotebookCC-BY-4.0
Stargazers
- admndrsnUC Berkeley
- Akesari12New York, NY
- annajiat
- austin-nguyenTripAdvisor
- capitolmuckrakrBloomberg Industry Group
- ck37Harvard Medical School, Mass General Hospital
- clark874
- clpennecUC Berkeley
- CMD-reverse
- dianxiao-wangBerkeley, CA
- DonJon86
- dschwabeDepartment of Informatics, PUC-Rio
- EastBayEvEast Bay, CA
- EBKania
- fowlerjsKansas City, MO
- GosiaTR
- jessnadamsSan Francisco
- lachlandeerTilburg University
- laurajnixon
- leoniteto
- lepotatoguyUniversity of Delaware
- matkosoricMunich, Germany
- mkearneyMeijer
- mxwinklerUniversity of Exeter Business School
- niklaslolloHigg
- phabreeze
- reynaldipr
- rmccl
- saeedseyyediStanford University
- schetudiante
- tin6150UC Berkeley / Lawrence Berkeley National Lab
- user-number-one
- vinaysays
- violetyaoBerkeley, CA
- yukitakahashi1European University Institute
- zhan-gaoUniversity of Southern California