Dear all, On behalf of “Frontiers”, the third most cited publisher, I’m happy to let you know that a new research topic has been launched and will be supervised by Cornelia Caragea and myself: automatic stance detection. Contributions to “Frontiers in Artificial Intelligence” and/or “Frontiers in Big Data” concerning this hot topic are invited. We are collaborating primarily with “Frontiers in Artificial Intelligence”, but both types of submissions are possible – as you will see in the research topic’s presentation page. Stance detection in natural language texts deals with determining the position (or stance) of a text producer towards a target or a set of targets. This Research Topic specifically addresses all aspects related to stance detection and its applications, both from a theoretical and practical viewpoint. We are looking for contributions in the form of Review, Original Research, Brief Research Report, Perspective, Technology and code etc. submission articles on substantial, original, and unpublished research in the following areas, including, but not limited to:
• sentiment analysis in stance detection • perspective identification in stance detection • sarcasm/irony detection in stance detection • controversy detection in stance detection • argument mining in stance detection • biased language detection in stance detection • novel algorithms for stance detection: feature-based machine learning approaches, deep learning approaches, and ensemble learning approaches • novel datasets for stance detection You can check this research topic’s detailed presentation, submission deadlines and instructions for authors at: https://www.frontiersin.org/research-topics/40998/automatic-stance-detection Please note that submitting papers is possible even in the absence of a previously submitted abstract (although we would appreciate knowing what to expect in advance). Submission deadline can be extended by one month (but no longer) upon request. For any questions regarding the topic itself, submission etc., please don’t hesitate to contact me ([email protected]<mailto:[email protected]>). Looking forward to receiving your contributions, Florentina Hristea https://cs.unibuc.ro/~fhristea/
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