Skip to Main content Skip to Navigation
Journal articles

Résumé automatique de textes d'opinion

Abstract : In this paper, we present a summarization system that is specifically designed to process blog posts, where factual information is mixed with opinions on the discussed facts. Our approach combines redundancy analysis with new information tracking and is enriched by a module that computes the polarity of textual fragments in order to summarize blog posts more efficiently. The system is evaluated against English data, especially through the participation in TAC (Text Analysis Conference), an international evaluation framework for automatic summarization, in which our system obtained interesting results.
Complete list of metadata

Cited literature [46 references]  Display  Hide  Download
Contributor : Thierry Poibeau Connect in order to contact the contributor
Submitted on : Thursday, May 17, 2012 - 4:54:01 PM
Last modification on : Friday, October 15, 2021 - 1:40:07 PM
Long-term archiving on: : Friday, November 30, 2012 - 11:55:09 AM


Files produced by the author(s)


  • HAL Id : hal-00698693, version 1


Aurélien Bossard, Michel Généreux, Thierry Poibeau. Résumé automatique de textes d'opinion. Revue TAL, ATALA (Association pour le Traitement Automatique des Langues), 2010, 51 (3), pp.47-73. ⟨hal-00698693⟩



Record views


Files downloads