Mehmet Kalpaklı
Biographic Data
| ID | 9114066 |
|---|---|
| NAME | Mehmet Kalpaklı |
| GIVEN NAMES | Mehmet |
| FAMILY NAME | Kalpaklı |
| SIGNATURE | KALPAKLI M |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 0 |
Automatic Categorization of ottoman Poems
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
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The Age of Beloveds: Love and the Beloved in Early-Modern Ottoman and European Culture and Society
Automatic Categorization of ottoman Poems
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: …
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) · Bayes' theorem (1 works) · Bayesian probability (1 works) · Categorization (1 works) · Computer Science (1 works)