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Personality prediction based on social media using decision tree algorithm
Tan Lee, Chee Yoong1, Nor Rahayu Ngatirin2, Zurinahni Zainol3.
Personality represents the mixture of features and qualities that built an individual’s distinctive characters
including thinking, feeling and behaving. Traditionally, self-assessment method via questionnaire
is the most common means to identify personality. Since recommender systems and advertisement
campaigns have evolved rapidly, personality computing has become a popular research field to provide
personalisation to users. Currently, researchers have utilised social media data for automatically predicting
personality. However, it is complex to mine the social media data as they are noisy, free-format, and
of varying length and multimedia. This paper proposes a decision tree C4.5 algorithm to automatically
predict personality based on Big Five model. The Big Five Inventory and ZeroR algorithm were included
to be served as the baseline for performance ev
Affiliation:
- Universiti Sains Malaysia, Malaysia
- Universiti Sains Malaysia, Malaysia
- Universiti Sains Malaysia, Malaysia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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3 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (1.1) |
Rank |
Q3 (Agricultural and Biological Sciences (all)) Q3 (Environmental Science (all)) Q3¬¬- (Computer Science (all)) Q3 (Chemical Engineering (all)) |
Additional Information |
SJR (0.174) |
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