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Vn-LongTopic: An Improved BERTopic Framework with Overlapping Chunking and Differentiated Weighting for Long Vietnamese News Topic Modeling

Bibliographic Details
Title: Vn-LongTopic: An Improved BERTopic Framework with Overlapping Chunking and Differentiated Weighting for Long Vietnamese News Topic Modeling
Authors: Li, Kunkun, An, Zhenzhou
Source: 2026 5th International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC) Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC), 2026 5th International Conference on. :265-274 Jul, 2026
Relation: 2026 5th International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC)
Database: IEEE Xplore Digital Library
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Kunkun%22">Li, Kunkun</searchLink><br /><searchLink fieldCode="AR" term="%22An%2C+Zhenzhou%22">An, Zhenzhou</searchLink>
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      – Type: doi
        Value: 10.1109/AIoTC71250.2026.11688862
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        PageCount: 10
        StartPage: 265
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      – TitleFull: Vn-LongTopic: An Improved BERTopic Framework with Overlapping Chunking and Differentiated Weighting for Long Vietnamese News Topic Modeling
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            NameFull: Li, Kunkun
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            NameFull: An, Zhenzhou
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            – D: 17
              M: 07
              Type: published
              Y: 2026
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