Voici l’annonce du 1er séminaire au DIC pour la session HIVER 2017
Titre : Applications en Analyse de textes des médias sociaux (Applications of Social Media Text Analysis)
Jeudi le 26 janvier 2017
I will review the current research on NLP tools and methods for processing the non-traditional information such as social media content. I will focus on innovative NLP tasks (opinion mining and emotion analysis, geo-location detection, event and topic detection, entity linking and disambiguation) that can be used in order to integrate appropriate linguistic information in various fields such as social media monitoring for health care, security and defence, business intelligence and politics. This talk is based on the new book that I co-authored, available at
http://www.morganclaypool.com/doi/abs/10.2200/S00659ED1V01Y201508HLT030 and on the tutorial that I presented at EMNLP 2015.
Diana Inkpen is a Professor at the University of Ottawa, in the School of Electrical Engineering and Computer Science. Her research is in applications of Computational Linguistics and Text Mining. She organized seven international workshops and she was a program co-chair for the AI 2012 conference. She is in the program committees of many conferences and an associate editor of the Computational Intelligence and the Natural Language Engineering journals. She was an invited speaker for AI 2015, SimBig 2015, and the Applied NLP track at FLAIRS 2016. She published a book on Natural Language Processing for Social Media (Morgan and Claypool Publishers, Synthesis Lectures on Human Language Technologies), 8 book chapters, more than 25 journal articles and more than 90 conference papers. She received many research grants, including intensive industrial collaborations.