Biblio
Filters: Author is Masucci, Vincenzo [Clear All Filters]
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2019. Computational Stylometry and Machine Learning for Gender and Age Detection in Cyberbullying Texts. 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). :1–6.
The aim of this paper is to show the importance of Computational Stylometry (CS) and Machine Learning (ML) support in author's gender and age detection in cyberbullying texts. We developed a cyberbullying detection platform and we show the results of performances in terms of Precision, Recall and F -Measure for gender and age detection in cyberbullying texts we collected.