Explainable AI for healthcare 5.0: opportunities and challenges

D Saraswat, P Bhattacharya, A Verma, VK Prasad… - IEEE …, 2022 - ieeexplore.ieee.org
In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …

Sentiment analysis using deep learning architectures: a review

A Yadav, DK Vishwakarma - Artificial Intelligence Review, 2020 - Springer
Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

An online reviews-driven large-scale group decision making approach for evaluating user satisfaction of sharing accommodation

F Ji, Q Cao, H Li, H Fujita, C Liang, J Wu - Expert Systems with Applications, 2023 - Elsevier
To promote the development of the peer-to-peer (P2P) accommodation in sharing economy,
it is important to understand and ensure the determinants of high-level user satisfaction …

Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial …

Y Wu, Z Zhang, G Kou, H Zhang, X Chao, CC Li… - Information …, 2021 - Elsevier
Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …

Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews

JW Bi, Y Liu, ZP Fan, J Zhang - Tourism Management, 2019 - Elsevier
This paper proposes a methodology for conducting importance-performance analysis (IPA)
through online reviews. The methodology is composed of three stages:(1) mining useful …

Probabilistic linguistic TODIM method for selecting products through online product reviews

P Liu, F Teng - Information Sciences, 2019 - Elsevier
Online product reviews (OPRs) provide abundant information for potential customers to
make optimal purchase decisions, and they apply Big Data to better understand product …

A consensus model for large-scale linguistic group decision making with a feedback recommendation based on clustered personalized individual semantics and …

CC Li, Y Dong, F Herrera - IEEE Transactions on Fuzzy …, 2018 - ieeexplore.ieee.org
In linguistic large-scale group decision making (LSGDM), it is often necessary to achieve a
consensus. Particularly, when computing with words and linguistic decision, we must keep …

Fuzzy logic applied to opinion mining: a review

J Serrano-Guerrero, FP Romero, JA Olivas - Knowledge-Based Systems, 2021 - Elsevier
The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …