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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.
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Slide Deck #7

Open brooksjessup opened 3 years ago

brooksjessup commented 3 years ago

Some of the big trends in NLP have been transformers and deep learning. Do we want to mention these in the introductory overview?

EastBayEv commented 3 years ago

Hi @brooksjessup -- Can you commit and push these changes? Please close this comment when you are done. Let me know if you have any questions. Thanks!