Personality Psychology meets Natural Language Processing

TakeLab, FER, University of Zagreb

About us

We are a team of computer scientists that want to be psychologists and psychologists that want to be computer scientists.

With this project, we aim to set the ground for a truly interdisciplinary perspective on computational personality research by developing datasets and models for personality prediction and analysis based on online textual interactions. The overarching goal of our project is to bring the two communities closer together and ultimately increase their capacity to carry out relevant and valid research using computational text analysis methods, contributing to both research fields. To this end, the project will focus on three research objectives:

  1. Development of datasets adequate for text-based personality research.
  2. Development of comprehensive NLP models for personality prediction and analysis.
  3. Investigating a number of research questions that relate personality psychology to language use by means of confirmatory and exploratory studies that leverage the developed datasets and computational models.

We are part of the Text Analysis and Knowledge Engineering Lab at the Faculty of Electrical Engineering and Computing, University of Zagreb.

psy.txt team

People

Researchers

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Irina Masnikosa

Linguist on duty

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Iva Vukojević

Psychologist on duty

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Ivan Crnomarković

TO-DO list master

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Jan Šnajder

Martial arts guru

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Josip Jukić

Cleaning enthusiast

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Matej Gjurković

Mess generator

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Mihaela Bošnjak

Photoshop guru

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Mladen Karan

Morning bird

Projects

PSY.TXT project (IP-2020-02-8671)

The topic of this project are computational models for personality analysis and prediction from text. Although NLP and personality psychology have a high potential for synergy, the two fields have different goals and values and thus far remain largely disconnected from each other.

Datasets

Find out more

Large-scale datasets of Reddit comments labeled with personality and demographics

Contact

If you are interested in our datasets, please submit a request with more information here.