UAIC1860 at SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles
Vlad Ermurachi, Daniela Gîfu · 2020
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 fragment 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 multiclass model to identify applied propaganda.