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

Daichi Minami, Mio Ushijima, Taketoshi Ushiama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450363853
DOIs
Publication statusPublished - Jan 5 2018
Event12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018 - Langkawi, Malaysia
Duration: Jan 5 2018Jan 7 2018

Publication series

NameACM International Conference Proceeding Series

Other

Other12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018
CountryMalaysia
CityLangkawi
Period1/5/181/7/18

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    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