Comparison of Deep Learning and Ensemble Learning in Classification of Toxic Comments
Kristína Machová, T. Tomcik · 2023
The paper is focused on recognition of various forms of toxic comments on social networks, particularly on the offensive and hate speech and on the cyberbullying. The spreading of toxic content through social networks is nowadays very serious problem, which can be harmful for a democratic society functioning. The paper presents an experiment with various machine learning methods to discover which from them would be the most suitable for building recognition models. Primarily, we will compare the deep learning and ensemble learning.