Affiliation:
1. Department of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics , Technical University of Košice , Letná 9, 042 00 Košice , Slovak Republic , Tel. 055/602 3307
Abstract
Abstract
In the article, we describe recent trends in the detection of hate speech and offensive language on social media. We accord from the latest studies and scientific contributions. The article describes current trends and the most used methods in connection with the detection of hate speech and offensive language. At the same time, we focus on the importance of emoticons, hashtags, and swearing in the field of social networks. We point out the topicality of the selected topic, describe the next direction of our work, and suggest possible solutions to current problems in this field of research.
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