Master Student Internship in Visual analytics for large text collection (M/F)

Référence : ERIN-2020-Intern-002

Type: Stagiaire
Type de contrat: Stage
Durée: 6 months
Lieu de travail: Belvaux

Contexte

 

Large text collections contain valuable knowledge that is difficult to find without appropriate visual text analytics software. The Papyrus software developed at LIST provides interactive visualizations to help analysts explore large text collections at various levels of details and focus on a manageable set of documents to read in detail. In particular, we have recently developed a set of visualizations for the analysis of word co-occurrence patterns.

 

Description

 

The aim of this internship is to design suitable interaction techniques for these visualizations and to set up and conduct a user study to evaluate the usability of the alternate visual designs.

The intern will contribute to this project by:

  • Developing additional visual design
  • Designing and developing interactions adapted for each visual design
  • Designing and conducting a user study to evaluate the usability of alternate approaches
  • Developing a support tool to conduct the user study

 


Profil

 

Education

  • Master 2 Computer Science/IHM

Competencies

  • Web development: Javascript, HTML, D3.js, AngularJS
  • Other programming languages: Java, Scala
  • Notions in evaluation methods for interactive visualizations will be welcome
  • Notions in Data visualization/Text Mining/Data Mining will be valuable assets

Language

  • English or French (spoken and written) is required

 

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ERIN-2020-Intern-002


 

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Contact

Dr Nicolas MEDOC
Dr Nicolas MEDOC

 Stéphanie LUCADELLO
Stéphanie LUCADELLO