Bassignana, Elisa

Nissim, Malvina

Patti, Viviana

English

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.</p

ARTS repository - University of Groningen

Personal-ITY:A Novel YouTube-based Corpus for Personality Prediction in Italian

https://pure.rug.nl/ws/files/155880252/paper_77.pdf

Personal-ITY:A Novel YouTube-based Corpus for Personality Prediction in Italian

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ARTS repository - University of Groningen