Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …

With the fastest growth of information and communication technology (ICT), the availability of
web content on social media platforms is increasing day by day. Sentiment analysis from …

Research on sentic computing has received intensive attention in recent years, as indicated
by the increased availability of academic literature. However, despite the growth in literature …

Sentiment analysis is one of the sub-domains of Natural Language Processing (NLP) that is
of piqued interest in the research community. With the advent of e-commerce and social …

We present a benchmark comparison of several deep learning models including
Convolutional Neural Networks, Recurrent Neural Network and Bi-directional Long Short …

Nowadays, a large number of customers purchase products and services online. Customers
can write their opinions in reviews to express the value and quality of purchased goods and …

Automated sentiment analysis is becoming increasingly recognized due to the growing
importance of social media and e-commerce platform review websites. Deep neural …

With the exponential growth of e-commerce, billions of consumers can share their opinion in
chat groups, retailer forums, private forums, or a review page on all kinds of products …

Big consumer opinion data provide valuable information about customer preferences. These
online opinions facilitate designers to capture customer requirements (CRs) and understand …

With the recent expansion of social media in the form of social networks, online portals, and
microblogs, users have generated a vast number of opinions, reviews, ratings, and …