Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users
A. Kreuter, K. Sassenberg, and R. Klinger. Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, page 315-323. Stroudsburg, Association for Computational Linguistics, (2022)
DOI: 10.18653/v1/2022.wassa-1.35
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%0 Conference Paper
%1 kreuter2022items
%A Kreuter, Anne
%A Sassenberg, Kai
%A Klinger, Roman
%B Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
%C Stroudsburg
%D 2022
%E Barnes, Jeremy
%E Clercq, Orphée de
%E Barriere, Valentin
%E Tafreshi, Shabnam
%E Alqahtani, Sawsan
%E Sedoc, João
%E Klinger, Roman
%E Balahur, Alexandra
%I Association for Computational Linguistics
%K
%P 315-323
%R 10.18653/v1/2022.wassa-1.35
%T Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users
%@ 978-1-955917-52-0
@inproceedings{kreuter2022items,
added-at = {2023-08-31T16:39:07.000+0200},
address = {Stroudsburg},
affiliation = {Kreuter, A (Corresponding Author), Univ Stuttgart, Inst Maschinelle Sprachverarbeitung, Stuttgart, Germany.
Kreuter, Anne; Klinger, Roman, Univ Stuttgart, Inst Maschinelle Sprachverarbeitung, Stuttgart, Germany.
Sassenberg, Kai, Leibniz Inst Wissensmedien, Tubingen, Germany.
Sassenberg, Kai, Univ Tubingen, Tubingen, Germany.},
author = {Kreuter, Anne and Sassenberg, Kai and Klinger, Roman},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2351716e62839cdd337dcf4884dc1a875/puma-wartung},
booktitle = {Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
doi = {10.18653/v1/2022.wassa-1.35},
editor = {Barnes, Jeremy and Clercq, Orphée de and Barriere, Valentin and Tafreshi, Shabnam and Alqahtani, Sawsan and Sedoc, João and Klinger, Roman and Balahur, Alexandra},
eventdate = {2022-05-26},
eventtitle = {12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
interhash = {3ef3ed52ad2e05e5d98075717a374ccc},
intrahash = {351716e62839cdd337dcf4884dc1a875},
isbn = {978-1-955917-52-0},
keywords = {},
language = {eng},
pages = {315-323},
publisher = {Association for Computational Linguistics},
timestamp = {2023-08-31T14:39:07.000+0200},
title = {Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users},
unique-id = {WOS:000847358800035},
venue = {{Dublin, Ireland} and {Online}},
year = 2022
}