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Tweet Data Mining: the Cultural Microblog Contextualization Data Set

Chaham, Yassine Rkha and Scohy, Clémentine and Déjean, Sébastien and Mothe, Josiane Tweet Data Mining: the Cultural Microblog Contextualization Data Set. (2016) In: Conference and Labs of the Evaluation forum (CLEF 2016), 5 September 2016 - 8 September 2016 (Evora, Portugal).

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Official URL: http://ceur-ws.org/Vol-1609/16091246.pdf

Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to CEUR editor, a free open-access publication service of Sun SITE Central Europe operated under the umbrella of RWTH Aachen University. This paper appears in vol 1609 Ceur Workshop Proceedings ISSN : 1613-0073 The definitive version is available at: http://ceur-ws.org/Vol-1609/16091246.pdf
HAL Id:hal-01671365
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Institut National des Sciences Appliquées de Toulouse - INSA (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:13 Dec 2017 13:12

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