TY - GEN
T1 - Fine-Tuning IndoBERT Model for Big Five Personality Prediction from Indonesian Social Media
AU - Pradnyana, Gede Aditra
AU - Anggraeni, Wiwik
AU - Yuniarno, Eko Mulyanto
AU - Purnomo, Mauridhi Hery
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The increasing amount of data generated from social media brings opportunities to produce various helpful knowledge and information, one of which is predicting a person's personality. The advent of attention-based classification techniques and transformers brings promising results on multiple tasks in Natural Language Processing (NLP). In this study, we predicted the Big Five personalities from Indonesian-language social media by fine-tuning the IndoBERT model. The IndoBERT model is a Bidirectional Encoder Representation from Transformers (BERT)-based mono-language model trained in the Indonesian corpus. Based on the experimental results, the prediction model we proposed obtained an accuracy value of 72% and an F1-score of 71% using IndoBERT-base. Meanwhile, using IndoBERT-large can increase the accuracy value by 78% and the F1-score by 74%. The proposed model also outperforms previous models in predicting the Big Five personality.
AB - The increasing amount of data generated from social media brings opportunities to produce various helpful knowledge and information, one of which is predicting a person's personality. The advent of attention-based classification techniques and transformers brings promising results on multiple tasks in Natural Language Processing (NLP). In this study, we predicted the Big Five personalities from Indonesian-language social media by fine-tuning the IndoBERT model. The IndoBERT model is a Bidirectional Encoder Representation from Transformers (BERT)-based mono-language model trained in the Indonesian corpus. Based on the experimental results, the prediction model we proposed obtained an accuracy value of 72% and an F1-score of 71% using IndoBERT-base. Meanwhile, using IndoBERT-large can increase the accuracy value by 78% and the F1-score by 74%. The proposed model also outperforms previous models in predicting the Big Five personality.
KW - Big Five
KW - IndoBERT
KW - Indonesian
KW - personality prediction
KW - social media
UR - http://www.scopus.com/inward/record.url?scp=85171132469&partnerID=8YFLogxK
U2 - 10.1109/ISITIA59021.2023.10221074
DO - 10.1109/ISITIA59021.2023.10221074
M3 - Conference contribution
AN - SCOPUS:85171132469
T3 - 2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
SP - 93
EP - 98
BT - 2023 International Seminar on Intelligent Technology and Its Applications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Y2 - 26 July 2023 through 27 July 2023
ER -
