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印度尼西亚情感分析：机器学习模型在评论分析中优于深度学习

作者 PulseAugur 编辑部 · [6 个来源] ·

两篇近期论文对传统机器学习模型与深度学习方法在印度尼西亚文本数据情感分析方面的表现进行了基准测试。一项关于 Tokopedia 评论的研究发现，线性 SVC 模型在准确率上优于 IndoBERT，达到了 97.60%，这归因于数据采样方式的差异。另一篇分析 Spotify 评论的论文指出，虽然 BiLSTM 取得了更高的整体加权 F1 分数，但使用 SMOTE 的传统机器学习方法在三分类性能上更为均衡。 AI

影响 强调了在特定的自然语言处理任务中，尤其是在数据集不平衡的情况下，传统机器学习模型仍然可以优于先进的深度学习模型。

排序理由 两篇发表在 arXiv 上的学术论文比较了传统机器学习模型与深度学习在情感分析任务中的表现。

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 6 个来源。 我们如何撰写摘要 →

印度尼西亚情感分析：机器学习模型在评论分析中优于深度学习

报道来源 [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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