Applying Deep Learning Models to Analyze Users’ Aspects, Sentiment, and Semantic Features for Product Recommendation

Research article (Applied Sciences, 2022) · cited 11× · AI/ML
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Applying Deep Learning Models to Analyze Users’ Aspects, Sentiment, and Semantic Features for Product Recommendation

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Applying Deep Learning Models to Analyze Users’ Aspects, Sentiment, and Semantic Features for Product Recommendation is a scholarly article[1].

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  • Applying Deep Learning Models to Analyze Users’ Aspects, Sentiment, and Semantic Features for Product Recommendation's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Applying Deep Learning Models to Analyze Users’ Aspects, Sentiment, and Semantic Features for Product Recommendation. Retrieved May 24, 2026, from https://4ort.xyz/entity/applying-deep-learning-models-to-analyze-users-aspects-sentiment-and-semantic-features-for-product-recommendation
MLA “Applying Deep Learning Models to Analyze Users’ Aspects, Sentiment, and Semantic Features for Product Recommendation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/applying-deep-learning-models-to-analyze-users-aspects-sentiment-and-semantic-features-for-product-recommendation.
BibTeX @misc{4ortxyz_applying-deep-learning-models-to-analyze-users-aspects-sentiment-and-semantic-features-for-product-recommendation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Applying Deep Learning Models to Analyze Users’ Aspects, Sentiment, and Semantic Features for Product Recommendation}}, year = {2026}, url = {https://4ort.xyz/entity/applying-deep-learning-models-to-analyze-users-aspects-sentiment-and-semantic-features-for-product-recommendation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Applying Deep Learning Models to Analyze Users’ Aspects, Sentiment, and Semantic Features for Product Recommendation — https://4ort.xyz/entity/applying-deep-learning-models-to-analyze-users-aspects-sentiment-and-semantic-features-for-product-recommendation (retrieved 2026-05-24)

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