155 citations · 354 across the 10 of their papers we have counts for
5 papers · 2 filters
Can You Fool AI by Doing a 180? $\unicode{x2013}$ A Case Study on Authorship Analysis of Texts by Arata Osada
Jagna Nieuwazny, Karol Nowakowski, Michal Ptaszynski +1
This paper is our attempt at answering a twofold question covering the areas of ethics and authorship analysis. Firstly, since the methods used for performing authorship analysis i…
Exploring the Potential of Feature Density in Estimating Machine Learning Classifier Performance with Application to Cyberbullying Detection
Juuso Eronen, Michal Ptaszynski, Fumito Masui +2
In this research. we analyze the potential of Feature Density (HD) as a way to comparatively estimate machine learning (ML) classifier performance prior to training. The goal of th…
Initial Study into Application of Feature Density and Linguistically-backed Embedding to Improve Machine Learning-based Cyberbullying Detection
Juuso Eronen, Michal Ptaszynski, Fumito Masui +4
In this research, we study the change in the performance of machine learning (ML) classifiers when various linguistic preprocessing methods of a dataset were used, with the specifi…
Transfer Language Selection for Zero-Shot Cross-Lingual Abusive Language Detection
Juuso Eronen, Michal Ptaszynski, Fumito Masui +3
We study the selection of transfer languages for automatic abusive language detection. Instead of preparing a dataset for every language, we demonstrate the effectiveness of cross-…
In the Service of Online Order: Tackling Cyber-Bullying with Machine Learning and Affect Analysis
Michal Ptaszynski, Pawel Dybala, Tatsuaki Matsuba +4
One of the burning problems lately in Japan has been cyber-bullying, or slandering and bullying people online. The problem has been especially noticed on unofficial Web sites of Ja…