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The goal of the tweet contextualization track is providing, automatically, a summary that explains a given tweet. This paper introduces a new approach for tweet contextualization based on association rules. The proposed approach allows the extension of the tweet’s vocabulary by a set of thematically related words using mining association rules between terms, and between syntagms. To prove the effectiveness of our approach, an experimental study is conducted on the INEX 2013 collection. RÉSUMÉ. Le but de la tâche de contextualisation des tweets organisée par INEX est de fournir, automatiquement, un résumé qui explique un tweet donné. Cet article présente une nouvelle approche de contextualisation des tweets basée sur les règles d’association entre syntagmes, et entre termes. Cette approche permet d’enrichir le vocabulaire de tweets par un ensemble de mots thématiquement proches. L’approche proposée est validée par une étude expérimentale sur la collection INEX 2013.

Using Association Rules between Terms and Nominal Syntagms for Tweet Contextualization