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
- DOI
- 10.1016/j.jksuci.2019.10.001
- Published
- 05
- Container
- Journal of King Saud University: Computer and Information Sciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jksuci.2019.10.001,
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},
author = {Akhilesh Dwivedi and RP Pant},
year = {2022},
journal = {Journal of King Saud University: Computer and Information Sciences},
doi = {10.1016/j.jksuci.2019.10.001},
url = {https://doi.org/10.1016/j.jksuci.2019.10.001}
}RIS
TY - JOUR TI - 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 AU - Akhilesh Dwivedi AU - RP Pant PY - 2022 JO - Journal of King Saud University: Computer and Information Sciences DO - 10.1016/j.jksuci.2019.10.001 UR - https://doi.org/10.1016/j.jksuci.2019.10.001 ER -
APA
Dwivedi, A., & Pant, R. (2022). 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. Journal of King Saud University: Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2019.10.001
Source records
- doaj · retrieved 2026-09-25T12:28:52.728Z