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Word2Vec+NEologdで売りスレを学習させた例 四天王
scala> for((synonym, cosineSimilarity) <- model.findSynonyms("四天王",20)) { println(s"$synonym $cosineSimilarity") }
マクロス 0.6563435864545475
確定 0.6234404095188449
一番 0.6152422611608568
艦隊 0.6094163718597655
覇権 0.6084368977849883
今期 0.6043637772909725
結局 0.5903431680409756
信 0.5871235775519404
正直 0.5840828689166342
www 0.5807674835152102
春 0.5742540061275814
争い 0.56733837263372
まおゆう 0.566157964502019
ふらう 0.5655262997128719
ばくおん 0.56289531609437
違法視聴 0.5599369320309018
他は 0.5580463787028479
クロムクロ 0.5530820084665666
ネリ 0.5528018276293143
カバネリ 0.5510190847498913
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