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Real-time collection of reliable and representative tweets datasets related to news events

Béatrice Mazoyer 1, 2 Julia Cage 3 Céline Hudelot 1 Marie-Luce Viaud 2 
1 MICS - Mathématiques et Informatique pour la Complexité et les Systèmes
2 INA - Institut National de l'Audiovisuel
3 ECON - Département d'économie (Sciences Po)
Keywords : Twitter news tweets retrieval
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https://hal-centralesupelec.archives-ouvertes.fr/hal-02321957
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Submitted on : Monday, October 21, 2019 - 3:25:04 PM
Last modification on : Wednesday, June 8, 2022 - 7:10:02 PM
Long-term archiving on: : Wednesday, January 22, 2020 - 5:12:22 PM

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  • HAL Id : hal-02321957, version 1

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SCIENCESPO | CNRS | CENTRALESUPELEC | MICS | USPC | UNIV-PARIS-SACLAY | GS-ENGINEERING | GS-COMPUTER-SCIENCE | ECON-SCPO | SCPO_OA

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Béatrice Mazoyer, Julia Cage, Céline Hudelot, Marie-Luce Viaud. Real-time collection of reliable and representative tweets datasets related to news events. First International Workshop on Analysis of Broad Dynamic Topics over Social Media (BroDyn 2018) co-located with the 40th European Conference on Information Retrieval (ECIR 2018), Mar 2018, Grenoble, France. ⟨hal-02321957⟩

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