Tweet Data Mining: the Cultural Microblog Contextualization Data Set

Yassine Rkha Chaham (1) , Clémentine Scohy (1) , Sébastien Dejean (2) , Josiane Mothe (3, 4, 5)

1 INSA Toulouse - Institut National des Sciences Appliquées - Toulouse
2 IMT - Institut de Mathématiques de Toulouse UMR5219
3 IRIT-SIG - Systèmes d’Informations Généralisées
4 ESPE Toulouse - École supérieure du professorat et de l'éducation - Toulouse Midi-Pyrénées
5 UT2J - Université Toulouse - Jean Jaurès

This paper presents an overview of the data set that was used for the Cultural Microblog Contextualization Workshop at CLEF 2016 and more specifically for the task 1: tweet contextualization. In this paper we first present a descriptive analysis of the data: we consider the variables or features associated with the tweets and analyse them. Then we also analyse the tweet textual content. The results of this work correspond to a first step toward data quality checking. It can also useful in order to understand better the data and its usefulness for some tasks or case studies.

Mots clés: SIGEVI; Tweet mining; Cultural microblog contextualization; Descriptive analysis

Domaines: Théorie de l'information [cs.IT]; Recherche d'information [cs.IR]

Yassine Rkha Chaham, Clémentine Scohy, Sébastien Dejean, Josiane Mothe. Tweet Data Mining: the Cultural Microblog Contextualization Data Set. Conference and Labs of the Evaluation forum (CLEF 2016), Sep 2016, Evora, Portugal. pp. 1246-1259. ⟨hal-01671365⟩