DocumentCode :
3509412
Title :
Keywords Frequency Trend Analysis of Online Novels
Author :
Ito, Eisuke ; Urakawa, Takahiro ; Flanagan, Brendan ; Hirokawa, Sachio
Author_Institution :
Res. Inst. for Inf. Technol., Kyushu Univ., Fukuoka, Japan
fYear :
2013
fDate :
Aug. 31 2013-Sept. 4 2013
Firstpage :
68
Lastpage :
73
Abstract :
The authors are interested in online novel services as a user-generated media on the Web. A large number of novels are being uploaded, and a few novels become major. Novel writers like to create novel of current popular genre, then current popular genre words may frequently appear. In this paper, the authors apply the time series analysis to the keywords words given to an online novel by the creator. The authors construct a trend analysis tool. The tool not only shows the trend of posted query word(s), but also shows the trends of similar terms. This paper describes the trend analysis system, the used data, and some interesting analyses.
Keywords :
Internet; information analysis; time series; genre words; keywords frequency trend analysis; online novel services; posted query word; time series analysis; user-generated media; Educational institutions; Games; Information technology; Market research; Media; Meteorology; Time series analysis; Online novel; frequency; keyword trend; user-generated media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2013 IIAI International Conference on
Conference_Location :
Los Alamitos, CA
Print_ISBN :
978-1-4799-2134-8
Type :
conf
DOI :
10.1109/IIAI-AAI.2013.92
Filename :
6630319
Link To Document :
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