Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …

The essential use of natural language processing is to analyze the sentiment of the author
via the context. This sentiment analysis (SA) is said to determine the exactness of the …

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 …

Recently, the world has witnessed an exponential growth of social networks which have
opened a venue for online users to express and share their opinions in different life aspects …

Sentiment analysis is concerned with the automatic extraction of sentiment‐related
information from text. Although most sentiment analysis addresses commercial tasks, such …

This study illustrates that determinants of customer satisfaction in hospitality venues can be
identified through an analysis of online reviews. Using text mining and content analysis of …

General sentiment analysis for the social web has become increasingly useful for shedding
light on the role of emotion in online communication and offline events in both academic …

Sentiment strength detection is an essential task in sentiment analysis, wherein the
sentiment strength of subjective text is automatically determined. Sentiment analysis has …

With the rapid growth of web technology and easy access of internet, online shopping has
been increased. Now people express their opinions and share their experiences that greatly …

In the field of natural language processing and text mining, sentiment analysis (SA) has
received huge attention from various researchers' across the globe. By the prevalence of …