## 3 Results
### Experimental Results of the Machine Learning Based Approach
These study findings can serve as a valuable reference for improving the accuracy of automatic annotation processes. This approach could increase the number of datasets and their corpus in the future, optimizing annotations. In addition, there is a need to explore various methods, including the possibility of applying other machine learning techniques, to develop automated annotation processes further. In future projects, we can explore the development of multiple criteria for hate speech categorization, such as different classification categories like abusive, aggressive, offensive, and others. Conceptualization, S.S. and A.S.A. ; Data curation, S.S., A.S.A., Y.F. and N.H.C. ; Formal analysis, S.S., R.D. and A.S.A. ; Funding acquisition, R.D. ; Investigation, S.S. and A.S.A. ; Methodology, S.S. and A.S.A. ; Project administration, S.S.; Resources, S.S., A.S.A., Y.F. and N.H.C. ; Software, S.S. and A.S.A. ; Supervision, S.S. and R.D. ; Validation, S.S., R.D. and A.S.A. ; Visualization, S.S. and A.S.A. ; Writing--original draft, S.S., R.D., F.A.D. and A.S.A. ; Writing--review and editing, S.S., R.D. and F.A.D. All authors have read and agreed to the published version of the manuscript. The research presented in this paper was partially supported by the funds of Polish Ministry of Education and Science assigned to AGH University of Krakow. Additionally, it was also partially supported by PLGrid Infrastructure with grant number PLG/2023/016757. Not applicable. Data Availability Statement: Data available on request due to privacy restrictions. The authors declare no conflicts of interest. * _[PERSON] et al. (2022)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] The impact of synthetic text generation for sentiment analysis using GAN based models. _Egypt. Inform. J._**2022**, _23_, 547-557. [CrossRef]
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