In Electronic commerce, customer reviews play a significant role in purchase making
decision. Most of the existing recommendation systems consider the customer reviews, user …

This study used an experimental design to examine the credibility and persuasiveness of
COVID-19-related Internet memes. The study used a random sample of US social media …

Social networking platforms have witnessed tremendous growth of textual, visual, audio, and
mix-mode contents for expressing the views or opinions. Henceforth, Sentiment Analysis …

Identifying user preferences is a complex operation, which makes its automa-tion
challenging, and existing recommendation systems that rely on one of the parameters …

The major task of Natural Language Processing (NLP) is Sentiments Analysis (SA) or
Opinion Mining (OM). It captures the opinion, trust, and feelings of every user's about the …

This study focused on the application of Kansei engineering (KE) in the field of vehicle
design. Quantitative and qualitative analyses of relevant studies in the literature were …

This survey paper provides a comprehensive analysis of big data algorithms in
recommendation systems, addressing the lack of depth and precision in existing literature. It …

Abstract Internet of Things (IoT) has enhanced the appearance of the information and
communications technology (ICT) infrastructure of smart sustainable cities that emerge as a …

Sentiment analysis is a sub-domain in opinion mining that extracts sentiments from the
users' opinions from text messages. Opinions from E-commerce websites, blogs, online …

Sentiment analysis is one of the prominent research areas in data mining and knowledge
discovery, which has proven to be an effective technique for monitoring public opinion. The …