Sentiment analysis is an increasingly popular instrument for the analysis of social media
discourse. Sentiment scores seemingly represent an objective means of assessing the …

A vast majority of the work in Sentiment Analysis has been on developing more accurate
sentiment classifiers, usually involving supervised machine learning algorithms and a …

Sentiment analysis has proven to be a valuable tool to gauge public opinion in different
disciplines. It has been successfully employed in financial market prediction, health issues …

Sentiment analysis is one of the fastest growing research areas in computer science, making
it challenging to keep track of all the activities in the area. We present a computer-assisted …

While sentiment analysis research has become very popular in the past ten years, most
companies and researchers still approach it simply as a polarity detection problem. In reality …

In the present information age, a wide and significant variety of social media platforms have
been developed and become an important part of modern life. Massive amounts of user …

Deciphering consumers' sentiment expressions from big data (eg, online reviews) has
become a managerial priority to monitor product and service evaluations. However …

Recent advances in machine learning have led to computer systems that are humanlike in
behavior. Sentiment analysis, the automatic determination of emotions in text, is allowing us …

As a response to the growing availability of informal, opinionated texts like blog posts and
product review websites, a field of Sentiment Analysis has sprung up in the past decade to …

Sentiment analysis in social media is harder than in other types of text due to limitations
such as abbreviations, jargon, and references to existing content or concepts. Nevertheless …