{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T15:51:00Z","timestamp":1648741860457},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,11,9]]},"abstract":"<jats:p>In recent years, young people have not been watching television (TV) as much as they used to. This is mainly because a number of TV programs are very long and\/or have limited viewing times. Recently, individuals have been actively posting live-action tweets on Twitter to comment on TV content while watching programs in real time. In this study, we propose a method for extracting key phrases related to the event scenes of TV programs using live tweets, and we propose a scene search system that aims at efficient TV program viewing. The experimental results indicated that the program contents were estimated with an error of approximately 5% to 10% with respect to the program time. In addition, the extracted key phrases were visualized for each event scene category using the t-SNE algorithm.<\/jats:p>","DOI":"10.3233\/faia200714","type":"book-chapter","created":{"date-parts":[[2020,11,10]],"date-time":"2020-11-10T17:45:56Z","timestamp":1605030356000},"source":"Crossref","is-referenced-by-count":0,"title":["Keyword Extraction from TV Program Viewers\u2019 Tweet Based on Neural Embedding Model"],"prefix":"10.3233","author":[{"given":"Taiga","family":"Kirihara","sequence":"first","affiliation":[{"name":"Graduate Schools of Science and Technology for Innovation Division of Science and Technology, Tokushima University, Japan"}]},{"given":"Kazuyuki","family":"Matsumoto","sequence":"additional","affiliation":[{"name":"Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Japan"}]},{"given":"Minoru","family":"Yoshida","sequence":"additional","affiliation":[{"name":"Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Japan"}]},{"given":"Kenji","family":"Kita","sequence":"additional","affiliation":[{"name":"Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Japan"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining VI"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA200714","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,10]],"date-time":"2020-11-10T17:45:56Z","timestamp":1605030356000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA200714"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia200714","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,9]]}}}