UAIC1860 at SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles
2020-12-01SEMEVALUnverified0· sign in to hype
Vlad Ermurachi, Daniela Gifu
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The ``Detection of Propaganda Techniques in News Articles'' task at the SemEval 2020 competition focuses on detecting and classifying propaganda, pervasive in news article. In this paper, we present a system able to evaluate on sentence level, three traditional text representation techniques for these study goals, using: tf*idf, word and character n-grams. Firstly, we built a binary classifier able to provide corresponding propaganda labels, propaganda or non-propaganda. Secondly, we build a multilabel multiclass model to identify applied propaganda.