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 present a general framework for stance detection, and the main steps of the framework are introduced in detail. The state‐of‐the‐art stance detection methods are categorized into three classes: feature‐based methods, deep learning‐based methods, and ensemble learning‐based methods. Moreover, the advantages and limitations of the existing methods are analyzed. The survey findings show that hybrid‐neural network‐based methods are superior to the other methods. In addition, existing methods still need to pay more attention to the sentiment information, user‐interaction, and attempt to merge more external knowledge to help improve the effect of stance detection.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.