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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Indonesian Journal of Electrical Engineering and Computer Science Engineering, Mathematics and Computer Science Journal (EMACS)
Tedjasulaksana, Jeffrey Junior
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mathematics

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Journal : Engineering, Mathematics and Computer Science Journal (EMACS)

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Classifying Viral Twitter with Transformer Models and Multi-Layer Perceptron Tedjasulaksana, Jeffrey Junior; Gunawan, Alexander Agung Santoso
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 7 No. 1 (2025): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v7i1.11580

Abstract

The classification of virality levels in Indonesian tweets is explored in this research using advanced natural language processing techniques and machine learning algorithms. Transformer models such as RoBERTa for sentiment analysis and XLNet for text embedding, alongside Multi-Layer Perceptron (MLP) classifiers, are leveraged to address the challenge of predicting tweet virality. Emotion features are incorporated, and cost-sensitive methods for handling class imbalance are implemented, resulting in robust performance demonstrated by our model. Intriguing correlations between tweet sentiment, emotion distribution, and virality levels are uncovered through sentiment analysis and emotion detection. The efficacy of XLNet in capturing contextual nuances, outperforming BERTweet, is highlighted by our findings. Furthermore, the integration of emotion features and cost-sensitive methods enhances the model's predictive accuracy, offering valuable insights for marketers and businesses seeking to optimize their social media strategies. The proposed model achieves an accuracy of 95% and an F1-Score of 59%.
Co-Authors Abba Suganda Girsang, Abba Suganda Evanita, Felicia Marvela Gunawan, Alexander Agung Santoso Imam Cholissodin Wahyuditomo, Kukuh Wicaksono