Personal-ITY: A novel youtube-based corpus for personality prediction in Italian
Contributo in Atti di convegno
Data di Pubblicazione:
2020
Abstract:
We present a novel corpus for personality prediction in Italian, containing a larger number of authors and a different 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 itself to a variety of experiments. We report on preliminary experiments on Personal-ITY, which can serve as a baseline for future work, showing that some types are easier to predict than others, and discussing the perks of cross-dataset prediction.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
personality detection, Myers-Briggs Type Indicator, social media, computational linguistics
Elenco autori:
Bassignana E.; Nissim M.; Patti V.
Link alla scheda completa:
Link al Full Text:
Titolo del libro:
Proceedings of the Seventh Italian Conference on Computational Linguistics
Pubblicato in: