IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation

Vikram Singh, Sunny Narayan, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya


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.
Anthology ID:
S17-2087
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
497–501
Language:
URL:
https://www.aclweb.org/anthology/S17-2087
DOI:
10.18653/v1/S17-2087
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2087.pdf