IPSJ SIG Technical Report Vol.2010-SLDM-144 No.50 Vol.2010-EMB-16 No.50 Vol.2010-MBL-53 No.50 Vol.2010-UBI-25 No /3/27 Twitter IME Twitte

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1 Twitter IME Twitter % 8.16% 2 3 Web 10 45% Relational Analysis between User Context and Input Word on Twitter Yutaka Arakawa, 1 Shigeaki Tagashira 1 and Akira Fukuda 1 The objective of this paper is to clear out the relation ship between user s context and really used words in order to realize the context-aware IME. In this paper, we target public tweets of Twitter, because it includes various user s real sentences with geocode (latitude and longitude). We analyze tweets that have collected from 15 December 2009 to 1 February 2010 for specifying the relationship to landmark information and TV program. As a result, we show that 4.83% of tweets include landmark words, and 8.16% of tweets include TV program words. Additionally, we bring out that average length of concerted words is about 2.5 words, and 45% of them are included in top 10 of web search results Google 1) iphone Google phone iwnn 2) IME IME 3) GPS Web APIWeb Application Program Interface NGNNext Generation Network IME 1 Graduate School of Information Science and Electrical Engineering, Kyushu University 1

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