Presentation 2011-01-28
Can Twitter be an alternative of Real-World Sensors?
Tetsuro TAKAHASHI, Yuya NODA,
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Abstract(in English) Twitter is the most famous on-line microblogging service now. People can post (tweet) what they are doing in 140 characters. Since Twitter posts (tweets) reflect what people are looking, hearing, feeling and so on, we can obtain information about Real-World phenomena through the large amount of tweets. In other words, Twitter can be regarded as a sensor of Real-World phenomena including natural phenomena such as hay fever. This motivated us to investigate whether can Twitter be an alternative of Real-World Sensor. In this paper, we first describe about our system which collects and analyzes tweets in order to generates a hay fever map just like as a weather report map. There are some difficulties such as location estimation and normalization of number of tweets. Using the output of the system, we discuss the comparison with actual pollen data gathered by real sensors. The result shows that Twitter can reflect natural phenomena in some particular areas.
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Keyword(in English) Twitter / crowd knowledge / social sensor
Paper # NLC2010-38
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Conference Information
Committee NLC
Conference Date 2011/1/20(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Can Twitter be an alternative of Real-World Sensors?
Sub Title (in English)
Keyword(1) Twitter
Keyword(2) crowd knowledge
Keyword(3) social sensor
1st Author's Name Tetsuro TAKAHASHI
1st Author's Affiliation Fujitsu Laboratories LTD.()
2nd Author's Name Yuya NODA
2nd Author's Affiliation NIFTY Corporation
Date 2011-01-28
Paper # NLC2010-38
Volume (vol) vol.110
Number (no) 400
Page pp.pp.-
#Pages 6
Date of Issue