Neologd+Word2vec はいふり Twitter
scala> for((synonym, cosineSimilarity) <- model2.findSynonyms("はいふり",20)) { println(s"$synonym $cosineSimilarity") } | |
hai 1.7055907657688039 | |
furi 1.694906198334261 | |
haifuri 1.656741880230457 | |
PRiGwMtAZb 1.599884004379273 | |
ysFlujBLfs 1.4793444334534496 | |
ypSrCaRhCW 1.4757221210439182 | |
ハイスクール・フリート 1.460308781255182 | |
ヨーソロー 1.4501548963586848 | |
flmsPgkBIQ 1.4412577283756636 | |
DVQrWxiFLu 1.4259662709962886 | |
春風 1.4204059453472593 | |
hhqrZaImpb 1.410719455908162 | |
BasMfxWKIr 1.409273021501945 | |
wKoQqnXuPQ 1.4079072994961546 | |
カンチョー 1.4077325591123966 | |
ハイスクールフリート 1.407646270616605 | |
お船 1.402396236108172 | |
炊飯器 1.3965316538649568 | |
ZJGTQZczOB 1.3963147141290462 | |
FeQuJzMMDk 1.385698792141574 |
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