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Mehmet Kalpakli

Biographic Data

ID8974652
NAMEMehmet Kalpakli
GIVEN NAMESMehmet
FAMILY NAMEKalpakli
SIGNATUREKALPAKLI M
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2005
LATEST PUBLICATION YEAR2013
H-INDEX0
  • Automatic Categorization of ottoman Poems

    Fazli Can, Fazlı Can et al.•ARTICLE•Glottotheory•2013

    Authorship attribution and identifying time period of literary works are fundamental problems in quantitative analysis of languages. We investigate two fundamentally different machine learning text categorization methods, Support Vector Machines (SVM) and Naive Bayes (NB), and several style markers in the categorization of Ottoman poems according to their poets and time periods. We use the collected works (divans) of ten different Ottoman poets: …

  • The Age of Beloveds: Love and the Beloved in Early-Modern Ottoman and European Culture and Society

    Mehmet Kalpakli, Walter G Andrews•BOOK•The Age of Beloveds: Love and the…•2005

  • The Age of Beloveds: Love and the Beloved in Early-Modern Ottoman and European Culture and Society

    Walter G Andrews, Mehmet Kalpakli et al.•BOOK•Age of Beloveds•2005

No prominent works on this page.

  • The Age of Beloveds: Love and the Beloved in Early-Modern Ottoman and European Culture and Society

    Mehmet Kalpakli, Walter G Andrews•BOOK•The Age of Beloveds: Love and the…•2005

  • The Age of Beloveds: Love and the Beloved in Early-Modern Ottoman and European Culture and Society

    Walter G Andrews, Mehmet Kalpakli et al.•BOOK•Age of Beloveds•2005

  • Automatic Categorization of ottoman Poems

    Fazli Can, Fazlı Can et al.•ARTICLE•Glottotheory•2013

    Authorship attribution and identifying time period of literary works are fundamental problems in quantitative analysis of languages. We investigate two fundamentally different machine learning text categorization methods, Support Vector Machines (SVM) and Naive Bayes (NB), and several style markers in the categorization of Ottoman poems according to their poets and time periods. We use the collected works (divans) of ten different Ottoman poets: …

Europe (2 works) · Interpersonal relations (2 works) · Social conditions (2 works) · Social life and customs (2 works) · Advanced Text Analysis Techniques (1 works) · Art (1 works) · Artificial Intelligence (1 works) · Asian American and Pacific Histories (1 works) · Authorship attribution (1 works) · Authorship Attribution and Profiling (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae