Date & time | Apr 6 '22, 05:00PM |
Ends on | Apr 6 '22, 06:00PM |
Location | Friedrichstr 191, 10117 Berlin, Germany |
Creator | mortmarlowe |
Category | seminar |
Registration | Link |
Different ways for modeling time with textual data
Julien Velcin and Gaël Poux-Médard (Lyon)
Textual corpora are usually not static over time: as new documents get published (e.g., news, scientific articles, tweets), topics of interest may change. Describing their rise and fall over time has generated substantial research over the last decade. Better, it turns out that considering the temporal dimension of textual modeling improves the automated description of these corpora.
Over the years, researchers of the ERIC lab have developed several models to explore this paradigm. Early works simply run static models on different time slices. More elaborate approaches consider that models estimated on each time slice are not independent from each other. Even more elaborate approaches go further, get rid of time discretization and model time as a continuous variable along with textual content.
Our talk will present an overview of these approaches, also illustrating our lab’s recent progresses in this regard – especially in terms of tracking topics over time or for studying how pieces of information interact to trigger new information on social media.
About the speakers
Julien VELCIN (@jvelcin)
Julien Velcin is Professor of Computer Science at the University Lumière
Lyon 2 (France). He works at the ERIC Lab in the Data Mining &
Decision team on topics related to artificial intelligence, machine
learning and natural language processing. More precisely, his research
aims at designing new models and algorithms to deal with information
networks. One of his favorite application field is the analysis of
topics and opinion that flow through the social media.
Gaël POUX-MÉDARD
Gaël Poux-Médard obtained a bachelor in physics at the University Lyon 1
(France), and two M.Sc degrees in “Physics of complex systems” and in
“Digital Humanities” at the Ecole Normale Supérieure (ENS) of Lyon in
2019. He worked as intern at the Università Rovira i Virgilli
(Tarragona, Spain) and at the CNR-ISC (Rome, Italy). Then, he started a
PhD in Computer Science on “interactions in information spread” at the
University Lyon 2.
The Wall