Tweet Contextualization Approach Using a Semantic Query Expansion

Abstract

Twitter is a communication medium and a collaboration system that allows broadcasting short messages called tweets. In contrast to traditional blogs, media-sharing and social networks services, microblogs (tweets) are textual messages submitted in real-time to report an idea, an actual interest, or an opinion. The size of these messages may be limited by a maximum number of characters. This constraint, related to the size of message, causes the use of a particular vocabulary. The aim is to exchange a maximum of information in as little characters as possible. In this respect, we will focus on the Tweet Contextualization task. The purpose of this task is to allow the reader a better understanding of the tweet. This paper deals with a new Tweet Contextualization approach using a semantic query expansion. The main idea of our proposed method is to enhance queries (tweets) in order to produce more informative contexts. The effectiveness of our method is proved through an experimental study conducted on the INEX 2014 collection.