Interesting stories often are built around interesting characters. Finding and detailing what makes an interesting character is a real challenge, but certainly a significant cue is the character personality traits. Our exploratory work tests the adaptability of the current personality traits theories to literal characters, focusing on the analysis of utterances in theatre scripts. And, at the opposite, we try to find significant traits for interesting characters. Our preliminary results demonstrate that our approach is reasonable. Using machine learning for gaining insight into the personality traits of fictional characters can make sense.
Personality traits recognition in literary texts / Pizzolli, Daniele; Strapparava, Carlo. - ELETTRONICO. - (2019), pp. 107-111. ((Intervento presentato al convegno Second Workshop on Storytelling @ACL 2019 tenutosi a Florence, Italy nel August 2019.
Scheda prodotto non validato
I dati visualizzati non sono stati ancora sottoposti a validazione formale da parte dello Staff di IRIS, ma sono stati ugualmente trasmessi al Sito Docente Cineca (Loginmiur).
Titolo: | Personality traits recognition in literary texts | |
Autori: | Pizzolli, Daniele; Strapparava, Carlo | |
Autori Unitn: | ||
Titolo del volume contenente il saggio: | Proceedings of the Second Workshop on Storytelling | |
Luogo di edizione: | USA | |
Casa editrice: | Association for Computational Linguistics | |
Anno di pubblicazione: | 2019 | |
Codice identificativo WOS: | WOS:000538335000011 | |
ISBN: | 978-1-950737-44-4 | |
Handle: | http://hdl.handle.net/11572/344018 | |
Citazione: | Personality traits recognition in literary texts / Pizzolli, Daniele; Strapparava, Carlo. - ELETTRONICO. - (2019), pp. 107-111. ((Intervento presentato al convegno Second Workshop on Storytelling @ACL 2019 tenutosi a Florence, Italy nel August 2019. | |
Appare nelle tipologie: | 04.1 Saggio in atti di convegno (Paper in proceedings) |