Stance detection based on ensembles of feature selection and classification methods
The article considers the stance detection task. An approach based on using ensembles of feature selection methods and ensembles of machine learning methods to solving this task is proposed. The main stages of the developed approach are described, which are the determining the optimal number of features, the determining the optimal feature set and the construction of the optimal ensemble of classifiers. Experiments conducted using corpora containing text documents in three domains. The experimental results confirm the effectiveness of the developed method and demonstrate its superiority over advanced solutions in the field of natural language processing.