LIA@CLEF 2018: Mining events opinion argumentation from raw unlabeled Twitter data using convolutional neural network

Abstract : Social networks on the Internet are becoming increasingly important in our society. In recent years, this type of media, through communication platforms such as Twitter, has brought new research issues due to the massive size of data exchanged and the important number of ever-increasing users. In this context, the CLEF 2018 Mining opinion argumentation task aims to retrieve, for a specific event (festival name or topic), the most diverse argumentative microblogs from a large collection of tweets about festivals in different languages. In this paper, we propose a four-step approach for extracting argumentative microblogs related to a specific query (or event) while no reference data is provided.
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https://hal.archives-ouvertes.fr/hal-02356434
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Submitted on : Friday, November 8, 2019 - 5:14:45 PM
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Richard Dufour, Mickael Rouvier, Alexandre Delorme, Damien Malinas. LIA@CLEF 2018: Mining events opinion argumentation from raw unlabeled Twitter data using convolutional neural network. CLEF 2018, Sep 2018, Avignon, France. ⟨hal-02356434⟩

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