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Indonesian sentiment analysis: ML models outperform deep learning on reviews

By PulseAugur Editorial · [6 sources] ·

Two recent papers benchmark traditional machine learning models against deep learning approaches for sentiment analysis on Indonesian text data. One study on Tokopedia reviews found that a Linear SVC model outperformed IndoBERT, achieving 97.60% accuracy, attributed to differences in data sampling. Another paper analyzing Spotify reviews indicated that while BiLSTM achieved a higher overall weighted F1-score, traditional ML methods with SMOTE provided more balanced three-class performance. AI

IMPACT Highlights that traditional ML models can still outperform advanced deep learning on specific NLP tasks, especially with imbalanced datasets.

RANK_REASON Two academic papers published on arXiv compare traditional ML models with deep learning for sentiment analysis tasks.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 6 sources. How we write summaries →

Indonesian sentiment analysis: ML models outperform deep learning on reviews

COVERAGE [6]

  1. arXiv cs.CL TIER_1 English(EN) · Nabila Zakiyah Zahra, Salwa Farhanatussaidah, Nasywa Nur Afifah, Luluk Muthoharoh, Ardika Satria, Martin C. T. Manullang ·

    Benchmarking Logistic Regression, SVM, Naive Bayes, and IndoBERT Fine-Tuning for Sentiment Analysis on Indonesian Product Reviews

    arXiv:2605.03439v1 Announce Type: new Abstract: The exponential growth of e-commerce platforms in Indonesia has generated a massive volume of user-generated product reviews. Analyzing the sentiment of these reviews is critical for measuring customer satisfaction and identifying p…

  2. arXiv cs.CL TIER_1 English(EN) · Uliano Wilyam Purba, Andre Hadiman Rotua Parhusip, Sahid Maulana, Luluk Muthoharoh, Ardika Satria, Martin C. T. Manullang ·

    Sentiment Analysis of Indonesian Spotify Reviews Using Machine Learning and BiLSTM

    arXiv:2605.03443v1 Announce Type: new Abstract: This paper benchmarks classical machine learning and deep learning approaches for three-class sentiment classification of Indonesian Spotify reviews. Using 100,000 scraped reviews and 70,155 cleaned samples, the study compares Suppo…

  3. arXiv cs.CL TIER_1 English(EN) · Martin C. T. Manullang ·

    Sentiment Analysis of Indonesian Spotify Reviews Using Machine Learning and BiLSTM

    This paper benchmarks classical machine learning and deep learning approaches for three-class sentiment classification of Indonesian Spotify reviews. Using 100,000 scraped reviews and 70,155 cleaned samples, the study compares Support Vector Machine, Multinomial Naive Bayes, and …

  4. Hugging Face Daily Papers TIER_1 English(EN) ·

    Sentiment Analysis of Indonesian Spotify Reviews Using Machine Learning and BiLSTM

    This paper benchmarks classical machine learning and deep learning approaches for three-class sentiment classification of Indonesian Spotify reviews. Using 100,000 scraped reviews and 70,155 cleaned samples, the study compares Support Vector Machine, Multinomial Naive Bayes, and …

  5. arXiv cs.CL TIER_1 English(EN) · Martin C. T. Manullang ·

    Benchmarking Logistic Regression, SVM, Naive Bayes, and IndoBERT Fine-Tuning for Sentiment Analysis on Indonesian Product Reviews

    The exponential growth of e-commerce platforms in Indonesia has generated a massive volume of user-generated product reviews. Analyzing the sentiment of these reviews is critical for measuring customer satisfaction and identifying product issues at scale. This paper benchmarks tr…

  6. arXiv cs.CL TIER_1 English(EN) · Lidia Natasyah Marpaung, Vania Claresta, Iqfina Haula Halika, Luluk Muthoharoh, Ardika Satria, Martin Clinton Tosima Manullang ·

    Benchmarking LightGBM and BiLSTM for Sentiment Analysis on Indonesian E-Commerce Reviews

    arXiv:2605.01322v1 Announce Type: new Abstract: This study presents a comparative analysis between two primary approaches in Natural Language Processing (NLP): Machine Learning (ML) utilizing the PyCaret AutoML framework, and Deep Learning (DL). The evaluation is conducted on a s…

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