GitHub / ebrahimpichka / semantic-textual-similarity
Categorizing products of an online retailer based on products’ titles using word2vec word-embedding and DBSCAN (density-based spatial clustering of applications with noise) clustering.
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PURL: pkg:github/ebrahimpichka/semantic-textual-similarity
Stars: 2
Forks: 1
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 39.1 KB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: almost 3 years ago
Pushed at: almost 4 years ago
Last synced at: about 2 years ago
Topics: clustering, dbscan, gensim, gensim-word2vec, natural-language-processing, nlp, python, python-3, semantic-segmentation, semantic-text-analysis, semantic-textual-similarity, word-embedding, word2vec