Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian
Computation and Language
2020-11-12 v1
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.
Keywords
Cite
@article{arxiv.2011.05688,
title = {Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian},
author = {Elisa Bassignana and Malvina Nissim and Viviana Patti},
journal= {arXiv preprint arXiv:2011.05688},
year = {2020}
}
Comments
7 pages, accepted at Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)