Recognition of Emotions in Czech Newspaper Headlines
Radim Bürget, Jan Karásek, Zdeněk Smékal · Brno University of Technology Digital Library (Brno University of Technology) · 2011
Abstract. With the growth of internet community, many different text-based documents are produced. Emotion detection and classification in text becomes very important in human-machine interaction or in human-to-human internet communication with this growth. This article refers to this issue in Czech texts. Headlines were extracted from Czech newspapers and Fear, Joy, Anger, Disgust, Sadness, and Surprise emotions are detected. In this work, several algorithms for learning were assessed and compared according to their accuracy of emotion detection and clas-sification of news headlines. The best results were achieved using the SVM (Support Vector Machine) method with a linear kernel, where the presence of the dominant emo-tion or emotions was analyzed. For individual emotions the