Sentiments or opinions from social media provide the most up-to-date and inclusive
information, due to the proliferation of social media and the low barrier for posting the …

Sentiment Analysis is probably one of the best-known area in text mining. However, in
recent years, as big data rose in popularity more areas of text classification are being …

The use of social media has become an integral part of daily routine in modern society.
Social media portals offer powerful public platforms where people can freely share their …

Sentiment analysis, which refers to the task of detecting whether a textual item (eg, a product
review and a blog post) expresses a positive or negative opinion in general or about a given …

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

The development of IoT technologies and the massive admiration and acceptance of social
media tools and applications, new doors of opportunity have been opened for using data …

The scope of cyberspace weapons is expanding from the physical network domain to the
cognitive information domain. Technologies such as network penetration, public opinion …

Multi-class sentiment classification is a valuable research topic with extensive applications;
however, studies in the field remain relatively scarce. In the present paper, a method for …

Sentiment analysis is the computational examination of end user's opinion, attitudes and
emotions towards a particular topic or product. Sentiment analysis classifies the message …

Recently, a huge amount of online consumer reviews (OCRs) is being generated through
social media, web contents, and microblogs. This scale of big data cannot be handled by …