Papers by André Ferreira Cruz

1 papers
On Sentence Representations for Propaganda Detection: From Handcrafted Features to Word Embeddings (D19-50)

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Challenge: The rise of fake and hyperpartisan news on social media and online news outlets calls for improved automatic detection of propaganda in texts.
Approach: They propose to use handcrafted features and learn dense semantic representations to detect propaganda in sentence-level and with random undersampling of the majority class (non-propaganda)
Outcome: The proposed system achieves a ranking of 10 among 25 participants, with 59.5 F1-score.

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