Naïve Bayes-Support Vector Machine Combined BERT to Classified Big Five Personality on Twitter

نویسندگان

چکیده

Twitter is one of the most popular social media used to interact online. Through Twitter, a person's personality can be determined based on that thoughts, feelings, and behavior patterns. A person has five main personalities likes Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism. This study will make predictions using Naïve Bayes method – Support Vector Machine, Synthetic Minority Over Sampling Technique (SMOTE), Linguistic Inquiry Word Count (LIWC), Bidirectional Encoder from Transformers Representations (BERT). questionnaire was distributed people who collect become dataset in this research. The obtained processed into SMOTE balance data. as linguistic feature BERT semantic approach. perform weighting Machine classify Big Five Personalities. To help improve accuracy, Optuna Hyperparameter Tuning added model. an accuracy 87.82% results combining SMOTE, BERT, LIWC, where increases baseline.

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ژورنال

عنوان ژورنال: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

سال: 2022

ISSN: ['2580-0760']

DOI: https://doi.org/10.29207/resti.v6i6.4378