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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2015 Vol.4(2): 98-103 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2015.V4.364

Re-mining Topics Popular in the Recent Past from a Large-Scale Closed Caption TV Corpus

Hajime Mochizuki and Kohji Shibano
Abstract—In this paper, we propose a method for extracting topics we were interested in over the course of the past 18 months from a closed-caption TV corpus. Each TV program is assigned one of the following genres: drama, informational or tabloid style program, music, movie, culture, news, variety, welfare, and sport. We focus on dramas and informational/tabloid style programs in this paper. As the results, we extracted some words or bigrams that formed part of a signature phrase of a heroine and the name of a hero in a popular drama.

Index Terms—Topic detection, spoken language corpus, closed caption TV data, word frequency, Pearson's r.

Hajime Mochizuki is with the Institute of Global Studies, Tokyo University of Foreign Studies, 3-11-1 Asahi, Fuchu, Tokyo, 183-8534, Japan (e-mail: motizuki@tufs.ac.jp).
Kohji Shibano is with the Research Institute for Languages and Cultures of Asia and Africa, Tokyo University of Foreign Studies, Japan (e-mail: shibano@aa.tufs.ac.jp).

[PDF]

Cite: Hajime Mochizuki and Kohji Shibano, "Re-mining Topics Popular in the Recent Past from a Large-Scale Closed Caption TV Corpus," International Journal of Future Computer and Communication vol. 4, no. 2, pp. 98-103, 2015.

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