GitHub / shaimaaK / arabic-word-embedding
Arabic Word Embedding models SkipGram, and GLoVE are trained over Arabic Wiki data Dump 2018 dataset from scratch using Gensim and GLoVE python libraries. Then the models are evaluated on three NLP tasks and its results are visualized in T-SNE
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PURL: pkg:github/shaimaaK/arabic-word-embedding
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Language: Jupyter Notebook
Size: 2.68 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: about 2 years ago
Topics: gensim-word2vec, glove-embeddings, glove-python, glove-vectors, nlp, python, skipgram, word2vec, word2vec-embeddinngs, wordembedding