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Personal-ITY: a YouTube Corpus for Personality Profiling in Italian Social Media

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Autore: Elisa Bassignana
Relatore: Viviana Patti
Università: Università degli Studi di Torino
Facoltà: Dipartimento di Informatica
Corso: Laurea Magistrale in Informatica
Data di Discussione: 20/10/2020
Voto: 110 cum laude
Disciplina: Natural Language Processing
Tipo di Tesi: Tesi di Ricerca
Altri Relatori: Malvina Nissim
Lingua: Inglese
Grande Area: Area Scientifica
Dignità di Stampa: Si
In Collaborazione con: University of Groningen

Nowadays we are surrounded by devices endowed with artificial intelligence whose goal is no more just helping us in performing tasks, but also making the experience enjoyable. The trend is looking for a human-computer interaction as natural as possible, personalized for each of us. Humans interpose their personality in every exchange with the external world and so the computational study of personality has became a common need for every tool in which there is a human-computer interaction.
The thesis focuses on the study of human personality by using computational linguistic techniques. The main contribution is the development of Personal-TY, a novel corpus for the Italian language collected from YouTube annotated with personality labels, containing a larger number of authors and a different textual genre compared to previously available resources. The corpus is built exploiting Distant Supervision, assigning Myers-Briggs Type Indicator (MBTI) labels to YouTube comments, and can lend i ...

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