A social network as an essential communication platform facilitates the interactions of online
users. Based on the interactions, users can influence or be affected by the opinions of …

Visualization of sentiments and opinions extracted from or annotated in texts has become a
prominent topic of research over the last decade. From basic pie and bar charts used to …

Methods for document clustering and topic modelling in online social networks (OSNs) offer
a means of categorising, annotating and making sense of large volumes of user generated …

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 …

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

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

The paper describes the new Russian sentiment lexicon-RuSentiLex. The lexicon was
gathered from several sources: opinionated words from domain-oriented Russian sentiment …

Truthfulness judgments are a fundamental step in the process of fighting misinformation, as
they are crucial to train and evaluate classifiers that automatically distinguish true and false …

This paper summarizes the goals, organization, and results of the second RepLab
competitive evaluation campaign for Online Reputation Management Systems (RepLab …

We examine Twitter data to assess the impact of media exposes on the reputations of two
international nonprofits, Oxfam and Save the Children (STC). Using a random sample of …