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GitHub / 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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dlab-berkeley%2FPython-Text-Analysis-Fundamentals

Stars: 38
Forks: 38
Open Issues: 21

License: cc-by-4.0
Language: Jupyter Notebook
Repo Size: 171 MB
Dependencies: 0

Created: about 5 years ago
Updated: about 1 year ago
Last pushed: over 2 years ago
Last synced: about 1 year ago

Topics: bag-of-words, gensim, nltk, python, scikit-learn, sentiment-analysis, spacy, text-analysis, topic-modeling, word-embeddings

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