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 …

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 …

With the rapid growth of web content from social media, such studies as online opinion
mining or sentiment analysis of text have started receiving attention from government …

Stance detection concerns the classification of a writer's viewpoint towards a target. There
are different task variants, eg, stance of a tweet vs. a full article, or stance with respect to a …

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 …

Purpose There is a strong prerequisite for organizations to analyze customer review
behavior to evaluate the competitive business environment. The purpose of this study is to …

Research in the area of human information interaction (HII) typically represents viewpoints
on debated topics in a binary fashion, as either against or in favor of a given topic (eg, the …

This study describes a hybrid semantic knowledgebase-machine learning strategy for
mining domain feature-level opinions and categorizing them on a multi-point scale. A …