https://github.com/tanyakuznetsova/word-embeddings-on-brown-corpus
This notebook explores how clustering semantically similar words can help make Natural Language Processing tasks easier.
https://github.com/tanyakuznetsova/word-embeddings-on-brown-corpus
brown-corpus cluster-analysis nlp nlp-machine-learning unsupervised-machine-learning word-embeddings
Last synced: 3 months ago
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This notebook explores how clustering semantically similar words can help make Natural Language Processing tasks easier.
- Host: GitHub
- URL: https://github.com/tanyakuznetsova/word-embeddings-on-brown-corpus
- Owner: tanyakuznetsova
- Created: 2024-01-09T18:27:35.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-09T18:43:33.000Z (over 1 year ago)
- Last Synced: 2025-01-18T08:36:24.545Z (5 months ago)
- Topics: brown-corpus, cluster-analysis, nlp, nlp-machine-learning, unsupervised-machine-learning, word-embeddings
- Language: Jupyter Notebook
- Homepage:
- Size: 497 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Word-Embeddings-on-Brown-Corpus
This notebook explores how clustering semantically similar words can help make Natural Language Processing tasks easier.
# Acknowledgement
The code builds upong the construction of the positive pointwise mutual matrix from the UCSD Machine Learning Fundamentals course taught by Professor Dasgupta.