Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …

The amount of digital text-based consumer review data has increased dramatically and
there exist many machine learning approaches for automated text-based sentiment analysis …

There is an exponential growth in textual content generation every day in today's world. In-
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …

Recently, online shopping has turned into a mainstream means for users to purchase as
well as consume with the upsurge development of Internet technology. User satisfaction can …

Internet and social media platforms such as Twitter, Facebook, and several blogs provide
various types of helpful information worldwide. The increased usage of social media and e …

With the rapid development of the Internet, an increasing number of users enjoy to shop
online and express their reviews on the products and services. Analysis of these online …

Improving user satisfaction by analyzing many user reviews found on e-commerce platforms
is becoming increasingly significant in this modern world. However, accurately predicting …

Most consumers rely on online reviews when deciding to purchase e‐commerce services or
products. Unfortunately, the main problem of these reviews, which is not completely tackled …

The consumer reviews serve as feedback for businesses in terms of performance, product
quality, and consumer service. In this research, we predict consumer opinion based on …

The rapid growth in Internet applications in tourism has lead to an enormous amount of
personal reviews for travel-related information on the Web. These reviews can appear in …