Titlebook: AI and Multimodal Services– AIMS 2024; 13th International C Xiuqin Pan,Mengxing Huang,Liang-Jie Zhang Conference proceedings 2025 The Edito

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,Ergebnisse pr?sentieren — das Referat,etween clauses and pairs, and generates both pairs and clause features to model causal relationships in clauses, balancing the information flow between emotion clauses, cause clauses and pairs. The method was experimentally demonstrated on a Chinese benchmark corpus, and the results demonstrated tha

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,Prüfungen — (k)ein Grund zur Sorge?,al for significant positive impact. Blockchain technology is employed to securely record the details and assessments of these projects, providing a transparent and tamper-proof history of their development. The second step, AI Verification, focuses on ensuring the reliability, accuracy, and ethical

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https://doi.org/10.1007/978-3-663-10209-0 enhance the predictive performance and raise accuracy to 0.98205. Afterward, we created a web application that uses Streamlit technology to provide real-time sentiment analysis. This comprehensive approach provides useful insights into improving service quality and customer satisfaction.

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Arg-T5: A Multi-perspective Argument Generation Method Based on Debate Topicour approach. The outcomes underscore a notable enhancement in argument diversity, addressing a pivotal challenge within computational argumentation. Our work contributes to advancing text generation and computational argumentation, offering a new solution for generating rich and varied debate content.

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Enhancing Customer Sentiment Analysis: A Hybrid Approach Using VADER and Machine Learning Techniques enhance the predictive performance and raise accuracy to 0.98205. Afterward, we created a web application that uses Streamlit technology to provide real-time sentiment analysis. This comprehensive approach provides useful insights into improving service quality and customer satisfaction.

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0302-9743 paper included in this book were carefully reviewed and selected from 16 submissions. They were organized in topical sections as follows: research track; application track; and short paper track..978-3-031-77680-9978-3-031-77681-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

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