Naslov
The use of machine learning in personality assessment

Autori
Kušeta, Ivan

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, preddiplomski

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
29.06

Godina
2022

Stranica
33

Mentor
Bagić Babac, Marina

Ključne riječi
Logistic Regression ; Linear Support Vector Classifier ; Multinomial Naive Bayes ; Decision Tree Classifier ; Random Forest Classifier

Sažetak
The goal of this thesis is to explore the effectiveness of machine learning algorithms in assessing personality types. The predictive analysis will be based on a publicly available labelled dataset that contains users' content from social media along with their personality type which is defined as the Myers Briggs Type Indicator. Using natural language processing, the dataset will be pre-processed, and relevant content features will be extracted for further processing. Then, suitable classification algorithms will be applied for the purpose of personality assessment. The results of different machine learning algorithms together with their advantages and disadvantages will be presented and explained.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Psihologija

POVEZANOST RADA