Data Science Seminar Series: Charles Bouveyron

on the October 25, 2018

15:45 to 17:00
The Data Science Seminar Series bring high profile researchers to Université Grenoble Alpes to show the increasing role of data science in modern research. It is open to all researchers of Université Grenoble Alpes. For the 2nd seminar of this year, we will welcome Charles Bouveyron from Université Nice Côte d'Azur.
Charles Bouveyron from Université Nice Côte d'Azur will give a talk on “The Latent Topic Block Model for the Co-Clustering of Textual Interaction Data”. The event will take place on Thursday 25 October at IM2AG building. The event will be followed by a coffee break.


We consider textual interaction data involving two disjoint sets of individuals/objects. An example of such data is given by the reviews on web platforms (e.g. Amazon, TripAdvisor, etc.) where buyers comment on products/services they bought. We develop a new generative model, the latent topic block model (LTBM), along with an inference algorithm to simultaneously partition the elements of each set, accounting for the textual information. The estimation of the model parameters is performed via a variational version of the expectation maximization (EM) algorithm. A model selection criterion is formally obtained to estimate the number of partitions. Numerical experiments on simulated data are carried out to highlight the main features of the estimation procedure. Two real-world datasets are finally employed to show the usefulness of the proposed approach.

Related document
Co-Clustering of Text Matrices with the Latent Topic Block Model


Related references
- C. Bouveyron, P. Latouche and R. Zreik, The Stochastic Topic Block Model for the Clustering of Networks with Textual Edges, Statistics and Computing, vol. 28(1), 11-31 (2017) :
- Nowicki, K., Snijders, T.: Estimation and prediction for stochastic blockstructures. J. Am. Stat. Assoc. 96(455), 1077–1087 (2001) : (modifié)

Published on November 12, 2018

Practical informations


Bâtiment IM2AG, building F, Amphi 18, campus universitaire de Grenoble