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An algorithmic implementation of entropic ternary reduct soft sentiment set (ETRSSS) using soft computing technique on big data sentiment analysis (BDSA) for optimal selection of a decision based on real-time update in online reviews

Research article (Journal of King Saud University - Computer and Information Sciences, 2019) · cited 12× · AI/ML
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An algorithmic implementation of entropic ternary reduct soft sentiment set (ETRSSS) using soft computing technique on big data sentiment analysis (BDSA) for optimal selection of a decision based on real-time update in online reviews

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An algorithmic implementation of entropic ternary reduct soft sentiment set (ETRSSS) using soft computing technique on big data sentiment analysis (BDSA) for optimal selection of a decision based on real-time update in online reviews is a scholarly article[1].

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  • An algorithmic implementation of entropic ternary reduct soft sentiment set (ETRSSS) using soft computing technique on big data sentiment analysis (BDSA) for optimal selection of a decision based on real-time update in online reviews's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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BibTeX @misc{4ortxyz_an-algorithmic-implementation-of-entropic-ternary-reduct-soft-sentiment-set-etrsss-using-soft-computing-technique-on-big_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An algorithmic implementation of entropic ternary reduct soft sentiment set (ETRSSS) using soft computing technique on big data sentiment analysis (BDSA) for optimal selection of a decision based on real-time update in online reviews}}, year = {2026}, url = {https://4ort.xyz/entity/an-algorithmic-implementation-of-entropic-ternary-reduct-soft-sentiment-set-etrsss-using-soft-computing-technique-on-big}, note = {Accessed: 2026-05-24}}
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