Naslov
The Present Situation and the Prospect of Determining the Personality Type of Text Author with Machine Learning

Autori
Čerkez, Ninoslav ; Vrdoljak, Boris ; Skansi, Sandro

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
SoftCOM 2019, Workshop on Information and Communication Technologies / - , 2019, 28-32

Skup
The 27 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2019)

Mjesto i datum
Split, Hrvatska, 19.09.2019. - 21.09.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
determining personality type, classification, MBTI, Big Five, compound class labels, natural language processing, human resource management, evaluation, and selection

Sažetak
Personality type has an essential role in selecting the best candidates for a job since it gives information regarding the way of thinking and behavior affinities for a candidate. This paper gives an overview of approaching methods before data science, the present situation, and some new directions in this area with an emphasis on determining the personality type of text author in human resource management with machine learning. Since that solving the problem of classification personality type includes using models like MBTI and Big Five, which classify type according to compound types, the focus is on classification problems with compound class labels.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti, Psihologija, Kognitivna znanost (prirodne, tehničke, biomedicina i zdravstvo, društvene i humanističke znanosti)

POVEZANOST RADA