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The Present Situation and the Prospect of Determining the Personality Type of Text Author with Machine Learning (CROSBI ID 689413)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Čerkez, Ninoslav ; Vrdoljak, Boris ; Skansi, Sandro The Present Situation and the Prospect of Determining the Personality Type of Text Author with Machine Learning // SoftCOM 2019, Workshop on Information and Communication Technologies. 2019. str. 28-32

Podaci o odgovornosti

Čerkez, Ninoslav ; Vrdoljak, Boris ; Skansi, Sandro

engleski

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

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.

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

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Podaci o prilogu

28-32.

2019.

objavljeno

Podaci o matičnoj publikaciji

SoftCOM 2019, Workshop on Information and Communication Technologies

Podaci o skupu

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

predavanje

19.09.2019-21.09.2019

Split, Hrvatska

Povezanost rada

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