Tom Jumbo-Grumbo at SemEval-2019 Task 4: Hyperpartisan News Detection with GloVe vectors and SVM
Chia-Lun Yeh, Babak Loni, Anne Schuth · 2019
In this paper, we describe our attempt to learn bias from news articles.From our experiments, it seems that although there is a correlation between publisher bias and article bias, it is challenging to learn bias directly from the publisher labels.On the other hand, using few manually-labeled samples can increase the accuracy metric from around 60% to near 80%.Our system is computationally inexpensive and uses several standard document representations in NLP to train an SVM or LR classifier.The system ranked 4th in the SemEval-2019 task.The code is released for reproducibility 1 .