-- French version --
Objectif : présentations et échanges autour de travaux sur des corpus issus des réseaux sociaux et leurs challenges.
Des doctorantes et doctorants présenteront leur travaux.
Langue : Anglaise
Programme
Social media networks have now entered the lives of most Internet-connected people. Anyone can get informed, express opinions, and engage in virtual discussions on social networks. Linguistic data produced on these media are increasing, enriched with other types of data (e.g., emoticons, pictures and short videos). Hence, genuine content on social media networks reflects the society’s opinions or beliefs. The analysis of social networks' data is thus crucial, i) to understand our society (e.g., the public perception on a particular topic) or the dynamics of a language, ii) to act for a more peaceful social environment, and iii) to develop computer systems for human-machine interaction. In this multidisciplinary study session, we propose to discuss the challenges and good practices when working with social media corpora.
Marie FLESCH (ATILF) - Internet language and gender: an intersectional study of a corpus of Reddit comments
Aman SINHA (IECL & ATILF) - C-Net: Contextual Network for Sarcasm Detection
Nicolas ZAMPIERI - (LORIA) Multiword Expression Features for Automatic Hate Speech Detection
Dana RUITER (Saarland University) – The Difficulty of Evaluating Style Transfer Systems
-- English version --
Ph.D students will present their work
Programme
Aman SINHA (IECL & ATILF) - C-Net: Contextual Network for Sarcasm Detection
Nicolas ZAMPIERI - (LORIA) Multiword Expression Features for Automatic Hate Speech Detection
Dana RUITER (Saarland University) – The Difficulty of Evaluating Style Transfer Systems