A. Features
- 200-dimension vector representation.
- 213,118 english sentences in total.
- Access via this Link and will be continuously updated.
B. Case: To find similar word
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>>> import gensim >>> model = gensim.models.Word2Vec.load("/home/tong/Desktop/w2v/janus-embedding-model") >>> for v in model.most_similar(positive=[u'scam'], topn=30): ... print v[0] fake idiots bs joke garbage payed trash lie legit Scam banned trust stupid shame rubbish waste rip obviously advertise steal bogus huh cheating fraud charged company charge con 😡 jelly >>> |