The aim of this systematic review is to determine the current state of the art in the real-time
classification of user-generated content from social media. Focus is on the identification of …

Abstract Interest in Opinion Mining has been growing steadily in the last years, mainly
because of its great number of applications and the scientific challenge it poses …

An increase in the use of smartphones has laid to the use of the internet and social media
platforms. The most commonly used social media platforms are Twitter, Facebook …

Abstract Semantics is a branch of linguistics, which aims to investigate the meaning of
language. Semantics deals with the meaning of sentences and words as fundamentals in …

This article tackles the problem of performing multilingual polarity classification on Twitter,
comparing three techniques:(1) a multilingual model trained on a multilingual dataset …

SenticNet is a concept-level knowledge base used to develop commonsense reasoning
algorithms for sentiment analysis tasks. One of the challenges that this resource must …

We present a novel unsupervised approach for multilingual sentiment analysis driven by
compositional syntax-based rules. On the one hand, we exploit some of the main …

Sentiment analysis has become a much needed natural language processing technique as
the usages of sentiment analysis based tools are getting popular. With sufficient amount of …

A wide variety of social media platforms have become integral to contemporary forms of
social engagement, including mass protests. Twitter is considered specifically indicative of …

In recent times, comparative opinion mining applications have attracted both individuals and
business organizations to compare the strengths and weakness of products. Prior works on …