著作: [吉田 稔]/児嶋 拓己/[松本 和幸]/[北 研二]/Toward Analyzing Relations between Sleep Time and Social Networking Service Texts: Prediction of the Tweet Time Span Using the Last Tweet of the Day/[International Journal of Advanced Intelligence (IJAI)]
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種別 | 必須 | 学術論文(審査論文) | |||
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言語 | 必須 | 英語 | |||
招待 | 推奨 | ||||
審査 | 推奨 | ||||
カテゴリ | 推奨 | ||||
共著種別 | 推奨 | ||||
学究種別 | 推奨 | ||||
組織 | 推奨 | ||||
著者 | 必須 | ||||
題名 | 必須 |
(英) Toward Analyzing Relations between Sleep Time and Social Networking Service Texts: Prediction of the Tweet Time Span Using the Last Tweet of the Day |
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副題 | 任意 | ||||
要約 | 任意 |
(日) Sleeping habits are one of the major issues in today's healthcare. In this paper, we consider the problem of analyzing sleeping habits of people using social networking service (SNS) texts. As the first step toward predicting user's sleeping time using SNS texts, we assume that the time span between the user's last post in one day and the first post the next day can be used as a pseudo-indicator for the user's sleeping time if the user posts the text sufficiently frequently. We call such tweet time spans ``pseudo-sleeping time'' if the first tweet of the next day include ``Good morning'' or similar words. We try to predict such pseudo-sleeping time using the text (tweet) of the preceding tweet (i.e., the last tweet of the day). Preliminary experiments show that the tweet text contains some useful information to predict the user's pseudo-sleeping time. |
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キーワード | 推奨 |
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発行所 | 推奨 | (英) AIA International Advanced Information Institute | |||
誌名 | 必須 |
International Journal of Advanced Intelligence (IJAI)(AIA International Advanced Information Institute)
(pISSN: 1883-3918)
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巻 | 必須 | 12 | |||
号 | 必須 | 1 | |||
頁 | 必須 | 1 9 | |||
都市 | 任意 | ||||
年月日 | 必須 | 2021年 3月 初日 | |||
URL | 任意 | http://repo.lib.tokushima-u.ac.jp/116122 | |||
DOI | 任意 | ||||
PMID | 任意 | ||||
CRID | 任意 | 1570291227698842880 | |||
WOS | 任意 | ||||
Scopus | 任意 | ||||
評価値 | 任意 | ||||
被引用数 | 任意 | ||||
指導教員 | 推奨 | ||||
備考 | 任意 |