Process / pipeline

Stance Detection — Favor, Against, or Neutral toward a Target

Stance detection is a natural-language-processing task that decides the position a text takes toward a specific claim, event, or topic — labelling it as favor, against, or neutral. Formalised by Mohammad et al. in the SemEval-2016 Task 6 shared task, it differs from plain sentiment analysis because the label is always relative to a defined target rather than the overall emotional tone of the text.

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Sources

  1. Mohammad, S. et al. (2016). SemEval-2016 Task 6: Detecting Stance in Tweets. Proceedings of SemEval-2016, 31-41. DOI: 10.18653/v1/S16-1003
  2. Küçük, D. & Can, F. (2020). Stance Detection: A Survey. ACM Computing Surveys, 53(1), 1-37. DOI: 10.1145/3369026

Related methods

ScholarGateStance Detection (Stance Detection (Stance Classification toward a Target)). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/stance-detection