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Communication Dans Un Congrès Année : 2016

CATS: Collection and Analysis of Tweets Made Simple

Résumé

Twitter presents an unparalleled opportunity for researchers from various fields 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 efficient 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.
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Dates et versions

hal-01442850 , version 1 (21-01-2017)

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Ciprian-Octavian Truică, Adrien Guille, Michael Gauthier. CATS: Collection and Analysis of Tweets Made Simple. ACM CSCW 2016, Feb 2016, San Francisco, United States. pp.41-44, ⟨10.1145/2818052.2874320⟩. ⟨hal-01442850⟩
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