https://github.com/pritamgouda11/comparison_analysis_of_embeddings
Conducted intrinsic evaluation of word embeddings through analogy and similarity tests, comparing the custom Skip-gram model’s performance against Google’s pre-trained Word2Vec model to assess the quality of the generated word representations.
https://github.com/pritamgouda11/comparison_analysis_of_embeddings
natural-language-processing pca-analysis skipgram wikitext word2vec
Last synced: 3 months ago
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Conducted intrinsic evaluation of word embeddings through analogy and similarity tests, comparing the custom Skip-gram model’s performance against Google’s pre-trained Word2Vec model to assess the quality of the generated word representations.
- Host: GitHub
- URL: https://github.com/pritamgouda11/comparison_analysis_of_embeddings
- Owner: pritamgouda11
- Created: 2024-03-16T07:26:14.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-28T18:47:16.000Z (12 months ago)
- Last Synced: 2025-01-18T02:27:04.516Z (5 months ago)
- Topics: natural-language-processing, pca-analysis, skipgram, wikitext, word2vec
- Language: Jupyter Notebook
- Homepage: https://colab.research.google.com/github/pritamgouda11/Comparison_Analysis_of_embeddings/blob/main/GOUDA_PRITAM_TRILOCHAN_SAVITA_23754_assignment1.ipynb
- Size: 162 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0