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 …

The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

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 …

The goal of stance detection is to determine the viewpoint expressed in a piece of text
towards a target. These viewpoints or contexts are often expressed in many different …

Recent advances in machine learning have led to computer systems that are humanlike in
behavior. Sentiment analysis, the automatic determination of emotions in text, is allowing us …

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 …

Understanding what people say and really mean in tweets is still a wide open research
question. In particular, understanding the stance of a tweet, which is determined not only by …

Rationale refers to the reasoning and justification behind human decisions, opinions, and
beliefs. In software engineering, rationale management focuses on capturing design and …

Stance is defined as the expression of a speaker's standpoint towards a given target or
entity. To date, the most reliable method for measuring stance is opinion surveys. However …