Automatic elicitation of semantic information from natural language texts is an important
research problem with many practical application areas. Especially after the recent …

Stance detection is an evolving opinion mining research area motivated by the vast increase
in the variety and volume of user-generated content. In this regard, considerable research …

Detecting stance on Twitter is especially challenging because of the short length of each
tweet, the continuous coinage of new terminology and hashtags, and the deviation of …

The coronavirus outbreak has brought unprecedented measures, which forced the
authorities to make decisions related to the instauration of lockdowns in the areas most hit …

Online forums and social media platforms are increasingly being used to discuss topics of
varying polarities where different people take different stances. Several methodologies for …

With the prevalence of social media and online forum, opinion mining, aiming at analyzing
and discovering the latent opinion in user-generated reviews on the Internet, has become a …

Stance detection is a relatively new concept in data mining that aims to assign a stance label
(favor, against, or none) to a social media post towards a specific pre-determined target …

Social media is a perfect breeding ground for false rumors due to the simplicity of sharing
information, which may have negative implications in a variety of domains, including …

Sentiment analysis is a computational technique that analyses the subjective information
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …

One way to help users navigate debated topics online is to apply stance detection in web
search. Automatically identifying whether search results are against, neutral, or in favor …