… In this chapter, we define an abstraction of the sentiment analysis or opinion mining problem.
From a research point of view, this abstraction gives us a statement of the problem and …

… the algorithms of sentiment analysis and opinion mining for social multimedia. … sentiment
analysis for social media, we present a comprehensive survey of visual sentiment analysis on …

… Sentiment analysis AKA opinion mining is one of the most … sector, opinion mining is used
to listen to student opinions and … With advancements in sentiment annotation techniques and …

… review of opinion mining and sentiment analysis to classify … a proper framework of opinion
mining accompanying with its … for aspect extraction, opinion classification, summary production …

… mining particularly from web mining and text mining. Why sentiment analysis and also known
as opinion mining … , we are likely to get the opinions from friends or relatives and do some …

… , sentiment analysis is used almost exclusively in industry, whereas both opinion mining and
sentiment analysis are … In this book, I use the terms sentiment analysis and opinion mining …

… This study relies on the methodology of sentiment analysis based on the lexicon-… sentiment
analysis on Twitter data, such as(VADER, SentiWordNet, SentiStrength, Liu and Hu opinion …

… In Section 2 that follows, we provide a survey of existing approaches in sentiment analysis
and opinion mining from Greek social media content and of the resources that can be …

… As in the sentiment analysis in the industry, there is a suggestion to use opinion mining for
… This paper shows the application of sentiment analysis on a data set consisting of paper …

… This section discusses previous research endeavors on sentiment analysis and opinion
mining using Twitter data in detail. The specific focus is on cyber-crime and Twitter data, and …