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A3C: Albanian Authorship Attribution Corpus

In: Economic Recovery, Consolidation, and Sustainable Growth

Author

Listed:
  • Arta Misini

    (South East European University)

  • Arbana Kadriu

    (South East European University)

  • Ercan Canhasi

    (University “Ukshin Hoti” Prizren)

Abstract

The process of authorship attribution (AA) examines previous works by authors to identify the correct writer. The primary objective of this study is to compile an Albanian corpus that will aid AA research. The novel corpus consists of newsroom columns scraped from online sources. We conduct experiments using two machine learning (ML) algorithms—the MNB and SVM classifiers. The model is fed with the TF-IDF feature vector. Compared to the MNB classifier, the SVM algorithm performed better. The results demonstrate that the corpus performs well on the AA task.

Suggested Citation

  • Arta Misini & Arbana Kadriu & Ercan Canhasi, 2023. "A3C: Albanian Authorship Attribution Corpus," Springer Proceedings in Business and Economics, in: Abdylmenaf Bexheti & Hyrije Abazi-Alili & Léo-Paul Dana & Veland Ramadani & Andrea Caputo (ed.), Economic Recovery, Consolidation, and Sustainable Growth, pages 755-763, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-42511-0_49
    DOI: 10.1007/978-3-031-42511-0_49
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