Sentiment analysis is a cognitive tool to extract the emotional tone of a piece of text. It is an
area of research that is actively pursued in Natural Language Processing. Social media …

Sentiment analysis is a classification process whereby machine learning techniques are
applied on text-driven datasets in order to analyze its sentiment, eg a message being …

With explosive development of the World Wide Web, an enormous amount of text
information containing users' feeling, emotions and opinions has been generated and is …

The principle thought behind the sentiment analysis is to predict the emotions or opinions of
the general population towards a specific subject from organized, semi-organized or …

Abstract Analysis of consumer reviews posted on social media is found to be essential for
several business applications. Consumer reviews posted in social media are increasing at …

In today's modern era, e‐commerce is making headway through the process of bringing
goods within everyone's grasp. Consumers are not even required to step out of the comfort …

With tremendous growth of online content, sentiment analysis of customer reviews has
become an active research topic for machine learning community. However, due to variety of …

With the outbreak of social networks, blogs, and forums, classifying subjective text
influenced by personal feelings and opinions has become an interesting research area …

Analyzing the big textual information manually is tougher and time-consuming. Sentiment
analysis is a automated process that uses computing (AI) to spot positive and negative …

Due to the increasing growth of social media content on websites such as Twitter and
Facebook, analyzing textual sentiment has become a challenging task. Therefore, many …