%0 Conference Proceedings
%T CATS: Collection and Analysis of Tweets Made Simple
%+ University Politehnica of Bucharest [Romania] (UPB)
%+ Equipe de Recherche en Ingénierie des Connaissances (ERIC)
%+ Université Lumière - Lyon 2 (UL2)
%A Truică, Ciprian-Octavian
%A Guille, Adrien
%A Gauthier, Michael
%< avec comité de lecture
%( Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion
%B ACM CSCW 2016
%C San Francisco, United States
%P 41-44
%8 2016-02-26
%D 2016
%R 10.1145/2818052.2874320
%Z Computer Science [cs]Conference papers
%X Twitter presents an unparalleled opportunity for researchers from various ï¬elds to gather valuable and genuine textual data from millions of people. However, the collection pro-cess, as well as the analysis of these data require different kinds of skills (e.g. programing, data mining) which can be an obstacle for people who do not have this background. In this paper we present CATS, an open source, scalable, Web application designed to support researchers who want to carry out studies based on tweets. The purpose of CATS is twofold: (i) allow people to collect tweets (ii) enable them to analyze these tweets thanks to efï¬cient tools (e.g. event detection, named-entity recognition, topic modeling, word-clouds). What is more, CATS relies on a distributed imple-mentation which can deal with massive data streams.
%G English
%L hal-01442850
%U https://hal.science/hal-01442850
%~ UNIV-LYON2
%~ ERIC
%~ LABEXIMU
%~ LYON2
%~ UDL