Combining Lexicon-based and Deep Learning-based methods for automated emotion analysis of newspaper articles in Dutch
L. Lorato · Utrecht University Repository (Utrecht University) · 2017
The increasing use of emotional opinion in media and politics made necessary the development of tools able to monitor these phenomena, i.e. identify in a newspaper article when an emotion is being expressed and who is the target and the expresser of such emotion. In this thesis project a number of techniques were used to develop a system able to derive such information starting from a rule-based system that was able to classify a large set of unlabeled sentences, and then use these to train a deep network. In this study is shown that the deep network is not only able to learn the behavior of the rule-based classifier, it is also able to generalize over the original lexicon and increase the recall of the classifier.