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    Winter is here: summarizing Twitter streams related to pre-scheduled events

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    ACL materials are Copyright © 1963–2019 ACL; other materials are copyrighted by their respective copyright holders. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
    Date Issued
    2019
    Publisher Version
    10.18653/v1/w19-3412
    Author(s)
    Andy, Anietie
    Wijaya, Derry Tanti
    Callison-Burch, Chris
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    Permanent Link
    https://hdl.handle.net/2144/40711
    Version
    Published version
    Citation (published version)
    Anietie Andy, Derry Tanti Wijaya, Chris Callison-Burch. 2019. "Winter is here: Summarizing Twitter Streams related to Pre-Scheduled Events." Proceedings of the Second Workshop on Storytelling. Proceedings of the Second Workshop on Storytelling. 2019-08 - 2019-08. https://doi.org/10.18653/v1/w19-3412
    Abstract
    Pre-scheduled events, such as TV shows and sports games, usually garner considerable attention from the public. Twitter captures large volumes of discussions and messages related to these events, in real-time. Twitter streams related to pre-scheduled events are characterized by the following: (1) spikes in the volume of published tweets reflect the highlights of the event and (2) some of the published tweets make reference to the characters involved in the event, in the context in which they are currently portrayed in a subevent. In this paper, we take advantage of these characteristics to identify the highlights of pre-scheduled events from tweet streams and we demonstrate a method to summarize these highlights. We evaluate our algorithm on tweets collected around 2 episodes of a popular TV show, Game of Thrones, Season 7.
    Rights
    ACL materials are Copyright © 1963–2019 ACL; other materials are copyrighted by their respective copyright holders. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
    Collections
    • CAS: Computer Science: Scholarly Papers [187]
    • BU Open Access Articles [3730]


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