How do viewers react to drama? Extraction of scene features of dramas from live commentary tweets

Daichi Minami; Mio Ushijima; Taketoshi Ushiama

doi:10.1145/3164541.3164616

How do viewers react to drama? Extraction of scene features of dramas from live commentary tweets

Daichi Minami, Mio Ushijima, Taketoshi Ushiama

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

抄録

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.

本文言語	英語
ホスト出版物のタイトル	Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018
出版社	Association for Computing Machinery
ISBN（電子版）	9781450363853
DOI	https://doi.org/10.1145/3164541.3164616
出版ステータス	出版済み - 1月 5 2018
イベント	12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018 - Langkawi, マレーシア継続期間: 1月 5 2018 → 1月 7 2018

出版物シリーズ

名前	ACM International Conference Proceeding Series

その他

その他	12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018
国/地域	マレーシア
City	Langkawi
Period	1/5/18 → 1/7/18

!!!All Science Journal Classification (ASJC) codes

ソフトウェア
人間とコンピュータの相互作用
コンピュータビジョンおよびパターン認識
コンピュータネットワークおよび通信

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

文献へのアクセス

10.1145/3164541.3164616

他のファイルとリンク

引用スタイル

Minami, D., Ushijima, M., & Ushiama, T. (2018). How do viewers react to drama? Extraction of scene features of dramas from live commentary tweets. In Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018 [87] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3164541.3164616

How do viewers react to drama? Extraction of scene features of dramas from live commentary tweets. / Minami, Daichi; Ushijima, Mio; Ushiama, Taketoshi.
Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018. Association for Computing Machinery, 2018. 87 (ACM International Conference Proceeding Series).

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

Minami, D, Ushijima, M & Ushiama, T 2018, How do viewers react to drama? Extraction of scene features of dramas from live commentary tweets. in Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018., 87, ACM International Conference Proceeding Series, Association for Computing Machinery, 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018, Langkawi, マレーシア, 1/5/18. https://doi.org/10.1145/3164541.3164616

Minami D, Ushijima M, Ushiama T. How do viewers react to drama? Extraction of scene features of dramas from live commentary tweets. In Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018. Association for Computing Machinery. 2018. 87. (ACM International Conference Proceeding Series). doi: 10.1145/3164541.3164616

@inproceedings{41efe7d4108542cfaf58c3c7eb9d3ede,

title = "How do viewers react to drama? Extraction of scene features of dramas from live commentary tweets",

abstract = "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.",

author = "Daichi Minami and Mio Ushijima and Taketoshi Ushiama",

note = "Funding Information: This work was supported in part by the Telecommunications Advancement Foundation in Japan, and the JSPS KAKENHI Grant No. JP16K12534. Publisher Copyright: {\textcopyright} 2018 ACM.; 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018 ; Conference date: 05-01-2018 Through 07-01-2018",

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How do viewers react to drama? Extraction of scene features of dramas from live commentary tweets

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出版物シリーズ

その他

!!!All Science Journal Classification (ASJC) codes

UN SDG

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