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Clustering Narrow-Domain Scientific Text Using Unsupervised and Similarity-Based Approaches.

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Title: Clustering Narrow-Domain Scientific Text Using Unsupervised and Similarity-Based Approaches.
Authors: Akbar, Saiful1, saiful@itb.ac.id, Ekaputri, Anindya Prameswari1, Fu, William1, Nurdini, Rahmah Khoirussyifa'1, Achsien, Salman Ma'arif1, Sitohang, Benhard1
Source: International Journal of Technology; 2025, Vol. 16 Issue 5, p1467-1483, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Clustering Narrow-Domain Scientific Text Using Unsupervised and Similarity-Based Approaches.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Technology%22">International Journal of Technology</searchLink>; 2025, Vol. 16 Issue 5, p1467-1483, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188168301
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        Value: 10.14716/ijtech.v16i5.7110
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1467
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      – TitleFull: Clustering Narrow-Domain Scientific Text Using Unsupervised and Similarity-Based Approaches.
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            – D: 01
              M: 09
              Text: 2025
              Type: published
              Y: 2025
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