著者
山西 良典 大泉 順平 西原 陽子 福本 淳一
出版者
Japan Society of Kansei Engineering
雑誌
日本感性工学会論文誌 (ISSN:18840833)
巻号頁・発行日
2015

This paper describes linguistic features of generally unreadable person names, which are defined as "<I>KIRAKIRA</I> names," and proposes a method to detect <I>KIRAKIRA</I> names based on the features. Through the discussions, the following eight features are founded as the linguistic features of <I>KIRAKIRA</I> names: 1) Too many Kanji characters, 2) Too many syllables, 3) Multiple usage of a common Kanji character, 4) Kanji variants are used, 5) The pronunciation of Kanji is generally unknown, 6) Too many stroke count for Kanji, 7) Mismatching of gender between a person and the name, and 8) The pronunciation of name equals an imported word. Based on the features, <I>KIRAKIRA</I> names are automatically detected by using Support Vector Machine. The experiments to detect <I>KIRAKIRA</I> names were conducted for 10,000 names. The results of the experiments showed 81.79% accuracy, 76.89% precision, and 91.84% recall.

言及状況

外部データベース (DOI)

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CiNii 論文 -  人名の言語的特徴の分析に基づくキラキラネーム判定 https://t.co/1koFO5Xbjs #CiNii 常識的ってどういうこと定義がこう……サンプルもサイト一つかあ
で、今回、久しぶりにこのツイを見つけて驚いたわけですが、なんと、同じ月にそのものズバリの論文が出てたのでした。 RT NLP方面の院生諸氏は、キラキラネーム分類器で、ジャーナル含め何本か論文書けそうですね。炎上必至ですけれど https://t.co/zSefiuVgI1

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