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Sentiment Analysis Based on Deep Learning Methods for Explainable Recommendations with Reviews

Research article (2021 12th International Conference on Information and Communication Systems (ICICS), 2021) · cited 11× · AI/ML
academia openalex:W3174468255
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Sentiment Analysis Based on Deep Learning Methods for Explainable Recommendations with Reviews

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Sentiment Analysis Based on Deep Learning Methods for Explainable Recommendations with Reviews is a scholarly article[1].

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  • Sentiment Analysis Based on Deep Learning Methods for Explainable Recommendations with Reviews's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Sentiment Analysis Based on Deep Learning Methods for Explainable Recommendations with Reviews. Retrieved May 24, 2026, from https://4ort.xyz/entity/sentiment-analysis-based-on-deep-learning-methods-for-explainable-recommendations-with-reviews
MLA “Sentiment Analysis Based on Deep Learning Methods for Explainable Recommendations with Reviews.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sentiment-analysis-based-on-deep-learning-methods-for-explainable-recommendations-with-reviews.
BibTeX @misc{4ortxyz_sentiment-analysis-based-on-deep-learning-methods-for-explainable-recommendations-with-reviews_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sentiment Analysis Based on Deep Learning Methods for Explainable Recommendations with Reviews}}, year = {2026}, url = {https://4ort.xyz/entity/sentiment-analysis-based-on-deep-learning-methods-for-explainable-recommendations-with-reviews}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sentiment Analysis Based on Deep Learning Methods for Explainable Recommendations with Reviews — https://4ort.xyz/entity/sentiment-analysis-based-on-deep-learning-methods-for-explainable-recommendations-with-reviews (retrieved 2026-05-24)

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