Seek&Hide. Anonymising a French SMS corpus using natural language processing techniques.

Pierre Accorsi (1) , Namrata Patel (2) , Cédric Lopez (3) , Rachel Panckhurst (4) , Mathieu Roche (5, 6)

1 UM2 - Université Montpellier 2 - Sciences et Techniques
2 GRAPHIK - Graphs for Inferences on Knowledge
3 VISEO - Objet Direct
4 Praxiling - Praxiling
5 ADVANSE - ADVanced Analytics for data SciencE
6 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale

This article presents the system Seek&Hide, a text message processing tool developed for the sud4science LR (http://www.sud4science.org/) project. It performs the anonymisation/de-iden- ti cation of a corpus. At present, it has been used to anonymise the sud4science LR corpus of French text messages collected during the project. is is done in two phases. In the rst phase, it automatically processes over 70% of the corpus. e rest of the corpus is processed in the second phase, aided by an expert annotator via a web interface speci cally designed to simplify the task.

Mots clés: NLP; Anonymization; French SMS

Domaines: Informatique et langage [cs.CL]

Pierre Accorsi, Namrata Patel, Cédric Lopez, Rachel Panckhurst, Mathieu Roche. Seek&Hide. Anonymising a French SMS corpus using natural language processing techniques.. Louise-Amélie Cougnon; Cédrick Fairon. SMS Communication. A linguistic approach, John Benjamins, pp.11-28, 2014, 978 90 272 0280 2/9789027270306. ⟨10.1075/bct.61⟩. ⟨hal-01485615⟩