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Computer Science > Computation and Language

arXiv:2210.12383 (cs)
[Submitted on 22 Oct 2022]

Title:Stance Detection and Open Research Avenues

Authors:Dilek Küçük, Fazli Can
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Abstract:This tutorial aims to cover the state-of-the-art on stance detection and address open research avenues for interested researchers and practitioners. Stance detection is a recent research topic where the stance towards a given target or target set is determined based on the given content and there are significant application opportunities of stance detection in various domains. The tutorial comprises two parts where the first part outlines the fundamental concepts, problems, approaches, and resources of stance detection, while the second part covers open research avenues and application areas of stance detection. The tutorial will be a useful guide for researchers and practitioners of stance detection, social media analysis, information retrieval, and natural language processing.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2210.12383 [cs.CL]
  (or arXiv:2210.12383v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2210.12383

Submission history

From: Dilek Küçük [view email]
[v1] Sat, 22 Oct 2022 08:18:09 UTC (194 KB)
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