Are there any updated Python libraries recommended by the UC Berkeley D-Lab for managing large-scale text corpora in digital humanities research?
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Are there any updated Python libraries recommended by the UC Berkeley D-Lab for managing large-scale text corpora in digital humanities research?
2 real searches · 1 real-search pass
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UC Berkeley D-Lab Python libraries large-scale text corpora digital humanities text analysis recommendations updated Google ↗
site:dlab.berkeley.edu Python text analysis corpus libraries spaCy gensim nltk Google ↗
- GitHub - dlab-berkeley/Python-NLP-Fundamentals: D-Lab's introduction to NLP in Python. Learn how to preprocess text data, apply bag-of-words methods, engage with word embeddings, and more, using Python. · github.com
- GitHub - dlab-berkeley/DH-Text-Analysis: D-Lab's introduction to text analysis for Digital Humanities. · github.com
- dlab-berkeley repositories · github.com
- GitHub - 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. · github.com
- Digital Humanities · dlab.berkeley.edu
- Current Working Groups · live-dlab.pantheon.berkeley.edu
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
UC Berkeley D-Lab Python libraries large-scale text corpora digital humanities text analysis recommendations updated OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
site:dlab.berkeley.edu Python text analysis corpus libraries spaCy gensim nltk OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |