Re-mining Topics Popular in the Recent Past from a Large-Scale Closed Caption TV Corpus
Hajime Mochizuki, Kohji Shibano · International Journal of Future Computer and Communication · 2015
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.