方法证据记录
Stance Detection
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Stance Detection (Stance Classification toward a Target)
分类方法记录 · process-pipeline / text-mining
- 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
- Küçük, D. & Can, F. (2020). Stance Detection: A Survey. ACM Computing Surveys, 53(1), 1-37. · DOI 10.1145/3369026
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