The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

Sentiment Analysis (SA) is an ongoing field of research in text mining field. SA is the
computational treatment of opinions, sentiments and subjectivity of text. This survey paper …

With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …

Although online consumer reviews (OCRs) have helped consumers to know about the
strengths and weaknesses of different products and find the ones that best suit their needs …

This paper proposes a big-data analytics-based approach that considers social media
(Twitter) data for the identification of supply chain management issues in food industries. In …

Online product reviews have significant impacts on consumers' purchase decisions. To
support consumers' purchase decisions, how to rank the products through online reviews is …

Document-level sentiment classification aims to automate the task of classifying a textual
review, which is given on a single topic, as expressing a positive or negative sentiment. In …

Blogs and social networks have recently become a valuable resource for mining sentiments
in fields as diverse as customer relationship management, public opinion tracking and text …

Abstract In the United States like in many other countries throughout the globe, construction
workers are more likely to be injured on the job than workers in any other industry. This poor …

Opinions published online about a given experience are known to influence consumers'
decisions. However, such opinions reflect different degrees of engagement which may affect …