dlab-berkeley/Python-Text-Analysis-Legacy-2023
D-Lab's 12 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
- Amulyaaaaaaa
- andres-vindas
- annajiat
- augusto-herrmannBrasília, DF, Brazil
- balajialgUC Berkeley
- beyondthearc
- Catttttttt
- dani-lbnlLawrence Berkeley National Laboratory
- dschwabeDepartment of Informatics, PUC-Rio
- econbernardoUniversity of California, Berkeley
- hluebberingNew York City
- KasorlLiang
- leoniteto
- lmselby
- mao-wangChinese Culture University
- mchovat
- meiqingliUniversity of Central Florida
- paulofreitasBrazil
- SirUlrichVonLiechtenstein
- todearaujoSão Paulo, SP
- vqsierraBaltimore, MD
- zkeller89@workstep