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 on social media is an emerging opinion mining paradigm for various social
and political applications in which sentiment analysis may be sub-optimal. There has been a …

Abstract The Russian invasion of Ukraine in February 2022 was accompanied by practices
of information warfare, yet existing evidence is largely anecdotal while large-scale empirical …

Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …

Drawing on recent debates around food, space and digital media, this paper introduces and
develops the concepts of the digital foodscape and 'good'food grammars. Through a …

Abstract We introduce Big Data Analytics (BDA) and Sentiment Analysis (SA) to the study of
international negotiations, through an application to the case of the UK-EU Brexit …

Alba, D.(2020). Misinformation about George Floyd protests surges on social media. New
York Times, 1 June. Retrieved from https://www. nytimes. com/2020/06/01/technology …

Stance detection automatically detects the stance in a text towards a target, vital for content
analysis in web and social media research. Despite their promising capabilities, LLMs …

Smart Cities evolve into complex and pervasive urban environments with a citizens'
mandate to meet sustainable development goals. Repositioning democratic values of …

Brexit. Trump. LePen. The Five Star Movement. The recent success of populist movements
and politicians is extraordinary, though the rise of populism is understandable in light of …