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y and efficiently analyze large amounts of text. Manually devised rules are not sufficient to provide coverage to handle the complex structure of natural language, necessitating systems that can automatically learn from examples. To handle the flexibility of natural language, it has become standard使纠缠 发表于 2025-3-25 21:36:39
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P. H. Redfern,I. C. Campbell,K. F. Martinntal results on a real-world food social network dataset reveal that our system outperforms alternative emotion-unaware recommender systems, yielding an average performance boost of roughly 6%. Furthermore, the results reveal a rise of over 30% in accuracy metrics for some users exhibiting particula