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Explainable text-based features in predictive models of crowdfunding campaigns.

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Title: Explainable text-based features in predictive models of crowdfunding campaigns.
Authors: Pekar, Viktor1, v.pekar@aston.ac.uk, Candi, Marina2, Marina@ru.is, Beltagui, Ahmad1, a.beltagui@aston.ac.uk, Stylos, Nikolaos3, n.stylos@bristol.ac.uk, Liu, Wei4, wei.liu@kcl.ac.uk
Source: Annals of Operations Research; Nov2025, Vol. 354 Issue 1, p367-397, 31p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Explainable text-based features in predictive models of crowdfunding campaigns.
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; Nov2025, Vol. 354 Issue 1, p367-397, 31p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189087574
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        Value: 10.1007/s10479-023-05800-w
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      – Code: eng
        Text: English
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        PageCount: 31
        StartPage: 367
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              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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