Personality traits recognition in literary texts

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.

Titolo: Personality traits recognition in literary texts
Autori: Pizzolli, Daniele; Strapparava, Carlo
Autori Unitn: 
Strapparava, Carlo
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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)

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