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

Accorsi, Pierre; Patel, Namrata; Lopez, Cédric; Panckhurst, Rachel; Roche, Mathieu

doi:10.1075/li.35.2.03acc

Article published In: SMS Communication: A linguistic approach
Edited by Louise-Amélie Cougnon and Cédrick Fairon
[Lingvisticæ Investigationes 35:2] 2012
► pp. 163–180

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Seek&Hide

Anonymising a French SMS corpus using natural language processing techniques

Pierre Accorsi | Université Montpellier 2, LIRMM, CNRS

Namrata Patel | Objet Direct — VISEO

Cédric Lopez | Praxiling UMR 5267 CNRS & Université Paul-Valéry Montpellier 3

Rachel Panckhurst

Mathieu Roche

Published online: 12 April 2013

https://doi.org/10.1075/li.35.2.03acc

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-identification of a corpus. At present, it has been used to anonymise the sud4science LR corpus of French text messages collected during the project. This is done in two phases. In the first phase, it automatically processes over 70% of the corpus. The rest of the corpus is processed in the second phase, aided by an expert annotator via a web interface specifically designed to simplify the task.

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