Effectively Delivering Author’s Point to Reader: Pointer-Generator Network Approach

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dc.contributor.author Kim, Hyeonjo
dc.contributor.author Hong, Sukhwa
dc.date.accessioned 2023-12-26T18:38:45Z
dc.date.available 2023-12-26T18:38:45Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other cf652632-04f9-46f4-9878-873f105a07a0
dc.identifier.uri https://hdl.handle.net/10125/106691
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Data Analytics, Data Mining, and Machine Learning for Social Media
dc.subject abstractive model
dc.subject communication
dc.subject pointer-generator network
dc.subject social and behavior change
dc.subject text summarization
dc.title Effectively Delivering Author’s Point to Reader: Pointer-Generator Network Approach
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract We propose a communication-based text summarization approach utilizing a pointer-generator network. The proposed summarization algorithm combines elements of abstractive summarization with keyword extraction. These keywords are associated with threats, causality, evidence, and solutions, all aimed at influencing readers' behavior. This paper is grounded in the theoretical frameworks of Language-Action Perspective (LAP) and Speech Act Theory (SAT), which are applied within the context of social and behavior change communication (SBCC). Consequently, our ultimate model considers the target readers to enhance the effectiveness of communication for promoting social and behavioral change. The SBCC-based summary incorporates more persuasive and emotive language while prioritizing SBCC-related content from the original article. This study demonstrates the potential effectiveness of a summary that encapsulates the author's intentions in shaping readers' thoughts and behaviors.
dcterms.extent 9 pages
prism.startingpage 2554
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