Classification of Big Five Personality Behavior Tendencies Based On Study Field with Twitter Analysis Using Support Vector Machine
Denis Eka Cahyani, Anas Falih Faishal · 2020
Behavioral tendencies can be seen from the characteristics or personality. A person's reaction to something can be seen through Twitter, from words written in tweets, so that their character or personality can be known. Personality can change which is influenced by several factors, one of which is the field of study. The field of study is occupied influencing environmental factors during the study process, for example in the study environment during the lecture. Therefore, this study conducted a Twitter analysis for the classification of Big Five Personality behavioral tendencies based on the field of study. Fields of study are grouped into seven groups namely art/humanities, law, economics, medicine, political science, psychology, and science. The classification process is carried out in several scenarios for dividing the amount of tweets data. The results of the classification with the highest accuracy is in the data of 300 tweets, with an accuracy value of 80.5% SVM and 82% MNB. Comparison of the Big Five Traits with previous research has in common for each field of study in addition to economic.