LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODS

The ever-increasing amount of online content and the opportunity for everyone to express their opinions leads frequent encounters with social problems: bullying, insults, hate speech. Some portals are taking steps stop this, such as no longer allowing user-generated comments be made anonymously, removing possibility comment under articles, some employ moderators who identify eliminate However, given large number comments, an appropriately people required do this work. rapid development artificial intelligence in language technology area may solution problem. Automated speech detection would allow manage content, therefore we report classification Lithuanian by application deep learning.