This paper describes our system for the detection of stances in tweets submitted to SemEval 2016 Task 6A. The system uses an ensemble of learning algorithms, fine-tuned using a genetic algorithm. We experiment with various offthe-shelf classifiers and build our model using standard lexical and a number of task-specific features. Our system ranked 3rd among the 19 systems submitted to this task..
CITATION STYLE
Tutek, M., Sekulić, I., Gombar, P., Paljak, I., Čulinović, F., Boltužić, F., … Šnajder, J. (2016). TakeLab at SemEval-2016 Task 6: Stance classification in tweets using a genetic algorithm based ensemble. In SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings (pp. 464–468). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s16-1075
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