Abstract
This paper describes our system participation in the SemEval-2017 Task 8 'RumourEval: Determining rumour veracity and support for rumours'. The objective of this task was to predict the stance and veracity of the underlying rumour. We propose a supervised classification approach employing several lexical, content and twitter specific features for learning. Evaluation shows promising results for both the problems.
Cite
CITATION STYLE
Singh, V., Narayan, S., Akhtar, M. S., Ekbal, A., & Bhattacharyya, P. (2017). IITP at SemEval-2017 Task 8: A Supervised Approach for Rumour Evaluation. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 497–501). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s17-2087
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