We consider a deep learning model for classifying high-dimensional data and seek to
achieve optimal evaluation accuracy and robustness based on multicriteria decision-making …

Electric vehicles (EVs) are becoming one of the most popular forms of low-carbon
transportations due to growing awareness of environmental protection and vigorous …

The Users regularly share their views on services through internet reviews. Digital tourism
allows travelers to plan and manage their trips ahead of time using the internet. The …

A product ranking method is an effective tool that can analyze a significant number of online
product reviews to recommend suitable products to consumers. However, existing product …

Sentiment analysis technology has made it possible to precisely calculate the daily reactions
and opinions of investors, which has been found to have a significant influence on financial …

With the high impetus in global digitization, online shopping (OS) is anticipated to increase
further in the near future. Contrary to this anticipation, however, recent studies have …

Purpose The purpose of this paper is to detect predefined service attributes and their
sentiments from online restaurant reviews, and then to measure the effects of customer …

With an ever-increasing number of mobile users, the development of mobile applications
(apps) has become a potential market during the past decade. Billions of users download …

Abstract Multiple Criteria Decision Making (MCDA) methods have been increasingly applied
to improve recommendations when multiple criteria are considered in Recommender …

With increasing globalization, communication among people of diverse cultural
backgrounds is also taking place to a very large extent in the present era. Issues like …