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  • Open Access

    ARTICLE

    AI-Driven Sentiment Analysis: Understanding Customer Feedbacks on Women’s Clothing through CNN and LSTM

    Phan-Anh-Huy Nguyen*, Luu-Luyen Than

    Intelligent Automation & Soft Computing, Vol.40, pp. 221-234, 2025, DOI:10.32604/iasc.2025.058976 - 14 April 2025

    Abstract The burgeoning e-commerce industry has made online customer reviews a crucial source of feedback for businesses. Sentiment analysis, a technique used to extract subjective information from text, has become essential for understanding consumer sentiment and preferences. However, traditional sentiment analysis methods often struggle with the nuances and context of natural language. To address these issues, this study proposes a comparison of deep learning models that figure out the optimal method to accurately analyze consumer reviews on women's clothing. CNNs excel at capturing local features and semantic information, while LSTMs are adept at handling long-range dependencies… More >

  • Open Access

    EDITORIAL

    Sustainable Development of Energy Systems and Climate Systems: Key Issues and Perspectives

    Bing Wang1,2,*, Lu Li1, Xinru Jiang1

    Energy Engineering, Vol.120, No.8, pp. 1763-1773, 2023, DOI:10.32604/ee.2023.027846 - 05 June 2023

    Abstract Climate change and energy security issues are prominent challenges in current energy system management, which should be governed synergistically due to the feedback relationships between them. The “Energy Systems Management and Climate Change” Special Collection Issue in the journal of Energy Engineering provide insights into the field of energy systems management and climate change. From an extended perspective, this study discusses the key issues, research methods and models for energy system management and climate change research. Comprehensive and accurate prediction of energy supply and demand, the evaluation on the energy system resilience to climate change More > Graphic Abstract

    Sustainable Development of Energy Systems and Climate Systems: Key Issues and Perspectives

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