Sentiment analysis in social media is harder than in other types of text due to limitations
such as abbreviations, jargon, and references to existing content or concepts. Nevertheless …

Extracting opinions and emotions from text is becoming increasingly important, especially
since the advent of micro-blogging and social networking. Opinion mining is particularly …

As the interest of the Semantic Web and computational linguistics communities in linguistic
linked data (LLD) keeps increasing and the number of contributions that dwell on LLD …

Sentiment lexicons are essential for developing automatic sentiment analysis systems, but
the resources currently available mostly cover modern languages. Lexicons for ancient …

In this paper, we describe the process of inclusion of a prior polarity lexicon of Latin lemmas,
called LatinAffectus, in a knowledge base of interoperable linguistic resources developed …

Many approaches to sentiment analysis rely on a lexicon that labels words with a prior
polarity. This is particularly true for languages other than English, where labelled training …

When people or organizations provide information, they make choices regarding what they
include and how they represent it. These two aspects combined (the content and the stance) …

Digital transformation (DT) is the process of transformation of the business world with the
use of information and communication technology (ICT) solutions. It not only has a large …

Traditional medical guidance becomes increasingly unsatisfactory, as the care of patients
should be centered around not just clinical symptoms but also their values and preferences …

Online reviews have a profound impact on the customer or “newbie” who wishes to
purchase or consume a product via Web 2.0 e-commerce. Online reviews contain features …