Toward Analyzing Relations between Sleeping Time and Social Networking Service Texts : Prediction of the Tweet Time Span Using the Last Tweet of the Day

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  • Relations between Sleep Time and SNS Texts

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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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詳細情報 詳細情報について

  • CRID
    1050570387105486080
  • NII論文ID
    120007125051
  • ISSN
    18833918
  • Web Site
    http://repo.lib.tokushima-u.ac.jp/116122
  • 本文言語コード
    en
  • 資料種別
    journal article
  • データソース種別
    • IRDB
    • CiNii Articles
    • KAKEN

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