ITU

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

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Standard

Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian. / Bassignana, Elisa; Nissim, Malvina; Patti, Viviana.

Seventh Italian Conference on Computational Linguistics. Association for Computational Linguistics, 2020.

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Harvard

Bassignana, E, Nissim, M & Patti, V 2020, Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian. in Seventh Italian Conference on Computational Linguistics. Association for Computational Linguistics, Seventh Italian Conference on Computational Linguistics, Bologna, Italy, 01/03/2021. <http://ceur-ws.org/Vol-2769/paper_77.pdf>

APA

Bassignana, E., Nissim, M., & Patti, V. (2020). Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian. In Seventh Italian Conference on Computational Linguistics Association for Computational Linguistics. http://ceur-ws.org/Vol-2769/paper_77.pdf

Vancouver

Bassignana E, Nissim M, Patti V. Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian. In Seventh Italian Conference on Computational Linguistics. Association for Computational Linguistics. 2020

Author

Bassignana, Elisa ; Nissim, Malvina ; Patti, Viviana. / Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian. Seventh Italian Conference on Computational Linguistics. Association for Computational Linguistics, 2020.

Bibtex

@inproceedings{d35ff102f89447099fa2eccdffc2a78d,
title = "Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian",
abstract = "We present a novel corpus for personality prediction in Italian, containing alarger number of authors and a different genre compared to previously availableresources. The corpus is built exploiting Distant Supervision, assigning Myers-Briggs Type Indicator (MBTI) labels to YouTube comments, and can lend itself toa 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 easierto predict than others, and discussing the perks of cross-dataset prediction.",
author = "Elisa Bassignana and Malvina Nissim and Viviana Patti",
year = "2020",
language = "English",
booktitle = "Seventh Italian Conference on Computational Linguistics",
publisher = "Association for Computational Linguistics",
address = "United States",
note = "Seventh Italian Conference on Computational Linguistics, Clic-it 2020 ; Conference date: 01-03-2021 Through 03-03-2021",
url = "http://clic2020.ilc.cnr.it/en/home-2/?ujci4tgnr78ybub/n28j8c0awe",

}

RIS

TY - GEN

T1 - Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian

AU - Bassignana, Elisa

AU - Nissim, Malvina

AU - Patti, Viviana

PY - 2020

Y1 - 2020

N2 - We present a novel corpus for personality prediction in Italian, containing alarger number of authors and a different genre compared to previously availableresources. The corpus is built exploiting Distant Supervision, assigning Myers-Briggs Type Indicator (MBTI) labels to YouTube comments, and can lend itself toa 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 easierto predict than others, and discussing the perks of cross-dataset prediction.

AB - We present a novel corpus for personality prediction in Italian, containing alarger number of authors and a different genre compared to previously availableresources. The corpus is built exploiting Distant Supervision, assigning Myers-Briggs Type Indicator (MBTI) labels to YouTube comments, and can lend itself toa 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 easierto predict than others, and discussing the perks of cross-dataset prediction.

M3 - Article in proceedings

BT - Seventh Italian Conference on Computational Linguistics

PB - Association for Computational Linguistics

T2 - Seventh Italian Conference on Computational Linguistics

Y2 - 1 March 2021 through 3 March 2021

ER -

ID: 85513053