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Wikipedia-based Semantic Approach for Tweet Contextualization

Abstract : The tweet contextualization task aims at providing an automatic readable summary explaining a given tweet. As tweets are very short documents, bound to 140 characters, and not always written maintaining proper spellings, there is indeed a need for such a task. This article describes a semantic tweet expansion approach for the tweet con-textualization task based on Wikipedia as an external knowledge source. This approach consists in two major phases, namely: the first is the generation of the candidate terms, from Wikipedia. While the second is the selection of the most-related terms. To achieve this latter, we propose a semantic relatedness measure based on the Explicit Semantic Analysis and association rules mining. The e↵ectiveness of our approach is proved through an experimental study conducted on the INEX 2014 collection. Our results have outperformed of the runs issued from INEX 2014.
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Contributor : Catherine Berrut <>
Submitted on : Wednesday, August 23, 2017 - 10:46:50 AM
Last modification on : Friday, July 17, 2020 - 11:10:28 AM


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  • HAL Id : hal-01576443, version 1



Meriem Zingla, Chiraz Latiri, Yahya Slimani, Catherine Berrut. Wikipedia-based Semantic Approach for Tweet Contextualization. KDDA - Knowledge Discovery ans Data Analysis, Nov 2015, Alger, Algeria. ⟨hal-01576443⟩



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