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March 3, 2026International Journal of Machine Learning and Cybernetics0 citations

Machine learning for aspect category detection in mobile edge products: the MLRG-CO algorithm

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SKS. Vinodh KumarTKT. KumaragurubaranMMM. Maragatharajan

Key Points

  • The MLRG-CO algorithm improves aspect category detection accuracy in mobile edge products, enhancing classification capabilities.
  • It achieves a classification accuracy of 92% on benchmark datasets, indicating its effectiveness in feature extraction.
  • This analysis utilizes machine learning techniques to optimize data processing and aspect category classification.
  • The findings highlight the potential for mobile edge products to leverage advanced algorithms for better decision-making and user experience.
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Cite This Study

Kumar et al. (2026) studied this question.

synapsesocial.com/papers/69a76586badf0bb9e87d9659https://doi.org/10.1007/s13042-025-02957-7
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