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 …

To what extent user's stance towards a given topic could be inferred? Most of the studies on
stance detection have focused on analysing user's posts on a given topic to predict the …

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, which focuses on users' deep attitudes, is an important way to understand
the online public opinion. This paper presents an overview of stance detection. First, we …

Online debate forums provide a valuable resource for textual discussions about
controversial social and political issues. Discovering the viewpoints and their discourse or …

Online debates can help provide valuable information about various perspectives on a wide
range of issues. However, understanding the stances expressed in these debates is a highly …

Social media platforms play a significant role in political discourse, often serving as tools for
political actors to disseminate partisan narratives, frequently encapsulated in concise …

In online deliberation, participants argue in support or opposition to one another's
arguments and ideas to advocate their position. Often their stance expressed in their posts is …

The paper advances belief representation learning in polarized networks–the mapping of
social beliefs espoused by users and posts in a polarized network into a disentangled latent …