Lionel Martin


Ph.D. student
Mailing Address:
Room 144, Building BC, I&C department, EPFL
Station 14, CH – 1015 Lausanne, Switzerland
Tel Direct: +41 21 693 1246
Email: lionel dot martin at epfl dot ch

About me

I am a Ph.D. candidate in the School of Computer and Communication Sciences of the Swiss Federal Institute of Technology, Lausanne (EPFL), since September 2012. I passed my Bachelor and Master degrees in Communication Sciences at EPFL, in 2010 and 2012, respectively. My master thesis, dedicated to the visualization of intelligent clustering techniques on large graphs in real-time, introduced me to HCI and the topics of visualization and user-oriented design. Since then, I work on the detection of influence in social media using content-based approaches. We focus in our current projects on the impact on readers of emotions contained in product reviews.

While I am not researching new ways to improve user interactions in social media, I enjoy organizing cultural exhibitions that can gather thousands of people looking for the various aspects that it regroups. After all, I always try my best to enrich others’ experiences and extract the gist of any vast piece of content – even in real life.

Research interests

As a researcher in Human Computer Interactions, my interests include every discipline improving our understanding of human interactions.

  • Influence Detection
  • Data Visualization
  • Social Media Analysis
  • Machine Learning
  • Text Analysis
  • Data Mining


  • Lionel Martin and Pearl Pu. “Prediction of Helpful Reviews using Emotions Extraction.” In the 28th AAAI Conference on Artificial Intelligence (AAAI-14). Quebec City, Canada,  July 27-31, 2014 [access]
  • Lionel Martin , Valentina Sintsova and Pearl Pu. “Are Influential Writers More Objective? An Analysis of Emotionality in Review Comments.” In the 5th International Workshop on Social Recommender Systems, in conjunction with 23rd International World Wide Web Conference (WWW 2014),  799 – 804. Seoul, Korea, 2014 [access]
  • Lionel Martin and Géraldine Bous. “Real-Time Intelligent Clustering for Graph Visualization.” In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications (GRAPP), 471 – 480. Barcelona, Spain, 2013