Traffic accident detection and condition analysis based on social networking data
Accurate detection of traffic accidents as well as condition analysis are essential to
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
[HTML][HTML] A 2-tuple fuzzy linguistic model for recommending health care services grounded on aspect-based sentiment analysis
Evaluating the quality of health care systems usually entails the examination of objective
variables (waiting time, patients per doctor, etc.). Nonetheless, other subjective variables …
variables (waiting time, patients per doctor, etc.). Nonetheless, other subjective variables …
A T1OWA and aspect-based model for customizing recommendations on eCommerce
Online reviews have a significant impact on the decisions of consumers, providing valuable
information which must be managed from two different perspectives: that of the user who …
information which must be managed from two different perspectives: that of the user who …
Consensus reaching-based decision model for assessing resilient urban public health safety ecosystem with social network analysis
Abstract In 2021, United Nations released the" Creating Resilient Cities 2030 Project", which
aims to strengthen urban resilience in develo** and implementing disaster reduction …
aims to strengthen urban resilience in develo** and implementing disaster reduction …
Weighted aspect based sentiment analysis using extended OWA operators and Word2Vec for tourism
The tourism industry stimulates business revenues and economic activities across the globe.
Effective analysis of enormous tourism reviews boosts both service quality and growth of …
Effective analysis of enormous tourism reviews boosts both service quality and growth of …
A hybrid of XGBoost and aspect-based review mining with attention neural network for user preference prediction
CH Lai, DR Liu, KS Lien - International Journal of Machine Learning and …, 2021 - Springer
With the rapid development of the internet, users tend to refer to the rating scores or review
opinions on social platforms. Most recommendation systems use collaborative filtering (CF) …
opinions on social platforms. Most recommendation systems use collaborative filtering (CF) …
A fuzzy aspect‐based approach for recommending hospitals
The process to assess a hospital performance usually needs the interaction of a lot of
experts and patients and is very costly and time‐consuming. Nevertheless, the availability of …
experts and patients and is very costly and time‐consuming. Nevertheless, the availability of …
Similarity–trust network for clustering‐based consensus group decision‐making model
WSAW Ahlim, NH Kamis, SAS Ahmad… - … Journal of Intelligent …, 2022 - Wiley Online Library
Trust relation, as defined in Social Network Analysis (SNA), is one of the recent notions
considered in decision making. This inspired our integration of trust relation in constructing a …
considered in decision making. This inspired our integration of trust relation in constructing a …
Gray uncertain linguistic multiattribute group decision making method based on GCC-HCD
C Rao, C Wang, Z Hu, X **ao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article presents a multiattribute group decision-making (MAGDM) method using cloud
models to handle decision problems with gray uncertain linguistic variables that contain both …
models to handle decision problems with gray uncertain linguistic variables that contain both …
Building a fuzzy sentiment dimension for multidimensional analysis in social networks
The continuous growth of social networks has made them one of the main information
sources for researchers and companies, but at the same time, their pre-processing and …
sources for researchers and companies, but at the same time, their pre-processing and …