In recent years, the explosive growth of online media, such as blogs and social networking
sites, has enabled individuals and organizations to write about their personal experiences …

Abstract Domain-specific sentiment lexicon has played an important role in most practical
opinion mining systems. Due to the ubiquitous domain diversity and absence of domain …

Nowadays, people do not only navigate the web, but they also contribute contents to the
Internet. Among other things, they write their thoughts and opinions in review sites, forums …

Trust and Reputation Systems constitute an essential part of many social networks due to
the great expansion of these on-line communities in the past few years. As a consequence …

The paper examines two approaches to sentiment analysis: lexicon-based vs. supervised
learning in the domain of movie reviews. In evaluation, the methods were compared using a …

In this paper, an unsupervised sentiment analysis model leveraging the Polarity Rank
algorithm and sentence dependency graph is proposed to predict the sentiments of women …

We demonstrate a method of improving a seed sentiment lexicon developed on essay data
by using a pivot-based paraphrasing system for lexical expansion coupled with sentiment …

Recently, there has been growing research interest in the sentiment analysis of tweets.
However, there is still a need to examine the contribution of Twitter-specific features to this …

The impact of the social networks-based sentiment analysis (SA) and opinion mining has
increased in recent times. Decision-makers consider the opinions of the thought leaders and …

This paper describes the participation of the GTI research group of AtlantTIC, University of
Vigo, and Gradiant (Galician Research and Development Centre in Advanced …