TY - GEN
T1 - How do viewers react to drama? Extraction of scene features of dramas from live commentary tweets
AU - Minami, Daichi
AU - Ushijima, Mio
AU - Ushiama, Taketoshi
N1 - Funding Information:
This work was supported in part by the Telecommunications Advancement Foundation in Japan, and the JSPS KAKENHI Grant No. JP16K12534.
Publisher Copyright:
© 2018 ACM.
PY - 2018/1/5
Y1 - 2018/1/5
N2 - TV drama has various genres such as "romantic" and "crime." However, recent TV dramas cannot be categorized into a single genre, and features of a variety of genres sometimes coexist. In this study, we analyze the user's reaction according to the progress of a TV drama from live commentary tweets and clarify the features of the scene. A "development pattern" is extracted based on the characteristics of scenes, and a clustering of TV dramas is performed, which is different from clustering based on genre. The features of each scene in dramas is modeled by a topic model. The topic distribution of a scene is extracted using LDA as one document by combining the live comments posted during one scene. The "development pattern" of a drama is represented as the wave of the topic connecting the topic distribution of each scene.
AB - TV drama has various genres such as "romantic" and "crime." However, recent TV dramas cannot be categorized into a single genre, and features of a variety of genres sometimes coexist. In this study, we analyze the user's reaction according to the progress of a TV drama from live commentary tweets and clarify the features of the scene. A "development pattern" is extracted based on the characteristics of scenes, and a clustering of TV dramas is performed, which is different from clustering based on genre. The features of each scene in dramas is modeled by a topic model. The topic distribution of a scene is extracted using LDA as one document by combining the live comments posted during one scene. The "development pattern" of a drama is represented as the wave of the topic connecting the topic distribution of each scene.
UR - http://www.scopus.com/inward/record.url?scp=85048397537&partnerID=8YFLogxK
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U2 - 10.1145/3164541.3164616
DO - 10.1145/3164541.3164616
M3 - Conference contribution
AN - SCOPUS:85048397537
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018
PB - Association for Computing Machinery
T2 - 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018
Y2 - 5 January 2018 through 7 January 2018
ER -
