LSTM deep learning model outperforms ML for Mobile Legends app review sentiment analysis

This paper evaluates machine learning and LSTM-based deep learning models for sentiment analysis of Mobile Legends app reviews. Utilizing a dataset of 10,000 labeled reviews, the study found that the LSTM model achieved 92% accuracy and a 91% weighted F1-score, outperforming traditional machine learning baselines. The research suggests deep learning methods are more adept at processing the informal and context-dependent language found in user reviews. AI

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IMPACT Demonstrates the effectiveness of deep learning for analyzing informal user-generated text, potentially improving product feedback analysis.

RANK_REASON Academic paper detailing a comparative study of machine learning models for sentiment analysis. [lever_c_demoted from research: ic=1 ai=1.0]

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• Mobile Legends
• LSTM
• PyCaret
• arXiv

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