GitHub / brave3d / WordNetEmbeddingAndPCA
This Notebook illustrate the calculation of Semantic Similarity using WordNet Embedding and Principal Component Analysis
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brave3d%2FWordNetEmbeddingAndPCA
PURL: pkg:github/brave3d/WordNetEmbeddingAndPCA
Stars: 3
Forks: 2
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 26.4 KB
Dependencies parsed at: Pending
Created at: almost 7 years ago
Updated at: over 1 year ago
Pushed at: almost 7 years ago
Last synced at: over 1 year ago
Topics: dimensionality-reduction, jupyter-notebook, nlp, pagerank-algorithm, pca, python, random-walk, semantic-similarity, wordnet, wordnet-embedding, wordnet-vector-spaces