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ID 116122
Title Alternative
Relations between Sleep Time and SNS Texts
Author
Kojima, Takumi Tokushima University
Keywords
sleeping time
SNS
text mining
Content Type
Journal Article
Description
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.
Journal Title
International Journal of Advanced Intelligence
ISSN
18833918
Publisher
AIA International Advanced Information Institute
Volume
12
Issue
1
Start Page
1
End Page
9
Published Date
2021-03
EDB ID
FullText File
language
eng
TextVersion
Publisher
departments
Science and Technology