Deep learning-based lexical character identification in TV series.
Automated character identification in movies and TV series has been typically carried out through face detection in video and the association of faces with characters' names extracted from dialogues or cast lists. We propose a deep learning architecture to identify characters based on subtitles only...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 4; pp. 1453 - 1466 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Oxford University Press / USA
Dec2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=174444649&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 174444649 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Dec2023 vid: 38 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 174444649 10.1093/llc/fqad068 ppf: 1453 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P size: 880KB tig: atl: Deep learning-based lexical character identification in TV series. aug: au: Torre, Paola Dalla Fantozzi, Paolo Naldi, Maurizio affil: Department of Social Sciences—Communication, Education and Psychology, LUMSA University , Piazza delle Vaschette 101 , 00193 Rome, Italy Department of Law, Economics, Politics, and Modern Languages, LUMSA University , Via Marcantonio Colonna 19 , 00192 Rome, Italy su: Television series Television characters Deep learning sug: subj: Television series Television characters Deep learning keyword: character identification deep learning Gomorrah lexicons TV series ab: Automated character identification in movies and TV series has been typically carried out through face detection in video and the association of faces with characters' names extracted from dialogues or cast lists. We propose a deep learning architecture to identify characters based on subtitles only, precisely through the lexicon those characters employ. The identification task is formalized as a multi-class classification task. We apply our technique to the complete set of episodes in the Gomorrah TV series and achieve an average identification accuracy beyond 94 per cent on the full set of characters. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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