Mathematical Linguistics
Online ISSN : 2433-0302
Print ISSN : 0453-4611
Invited Paper A
Social Media Based Individual Word Usage Surveillance
Eiji Aramaki
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JOURNAL OPEN ACCESS

2023 Volume 34 Issue 3 Pages 148-157

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Abstract
Social media has become one of the fundamental infrastructures, providing huge materials for social media study. Although one of the advantages of social media is that all posted texts are associated with the authors, a few studies paid attention to this nature. Based on this nature, this study introduces a novel concept, the number of word users. The number of users enables to capture the phenomenon that a small number of individuals use a word frequently. Also, it provides word statistics without individual bias. Finally, this study discusses how to approach standard Japanese words by using the number of word-users.
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© The Mathematical Linguistic Society of Japan

この記事はクリエイティブ・コモンズ [表示 - 非営利 - 改変禁止 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
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