Last week, Antonio Pascucci a visiting Ph.D. Industrial Student in Computational Linguistics for Authorship and Gender Attribution in Italian social media texts from Universiy Of Naples – L’Orientale, gave a Researcher Seminar to the group.

Title: ‘Computational Stylometry for Authorship Attribution in social media texts’

Abstract: 

Computational Stylometry (CS) is the study of stylistic features (linguistic choices). Writing style is a combination of decisions in language production. Thanks to a statistic analysis of these decisions, we can know author identity and many more characteristics about him/her. Writing style, in fact, is unique to an individual, and that’s why we talk about authorial DNA.

CS for the authorship attribution is the topic of my research project, and the aim is using CS for authorship attribution in social media texts. During the seminar, research project and my first steps in gender attribution will be shown, in addition to Cyberbullying detection researches, conducted thanks to a software made available by Expert System Corp.