Automatic categorization of Ottoman poems

dc.citation.epage15en_US
dc.citation.issueNumber2en_US
dc.citation.spage1en_US
dc.citation.volumeNumber4en_US
dc.contributor.authorCan, E. F.en_US
dc.contributor.authorCan, F.en_US
dc.contributor.authorDuygulu, P.en_US
dc.contributor.authorKalpakli, M.en_US
dc.date.accessioned2015-07-28T12:04:28Z
dc.date.available2015-07-28T12:04:28Z
dc.date.issued2014en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.departmentDepartment of Historyen_US
dc.description.abstractAuthorship 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 Naïve 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: two poets from each of the five different hundred-year periods ranging from the 15th to 19 th century. Our experimental evaluation and statistical assessments show that it is possible to obtain highly accurate and reliable classifications and to distinguish the methods and style markers in terms of their effectiveness.en_US
dc.description.provenanceMade available in DSpace on 2015-07-28T12:04:28Z (GMT). No. of bitstreams: 1 10.1007-978-1-4471-2155-8_6.pdf: 388956 bytes, checksum: 1416583feda177d1636f65ffe645a213 (MD5)en
dc.identifier.doi10.1524/glot.2013.0014en_US
dc.identifier.eissn2196-6907en_US
dc.identifier.issn1337-7892en_US
dc.identifier.urihttp://hdl.handle.net/11693/13047en_US
dc.language.isoEnglishen_US
dc.publisherDe Gruyter Akademie Forschungen_US
dc.relation.isversionofhttp://dx.doi.org/10.1524/glot.2013.0014en_US
dc.source.titleGlottotheory: international journal of theoretical linguisticsen_US
dc.subjectOttoman poemsen_US
dc.subjectAuthorship attributionen_US
dc.subjectAutomatic text categorizationen_US
dc.subjectHistorical literary textsen_US
dc.subjectOttomanen_US
dc.titleAutomatic categorization of Ottoman poemsen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
10.1007-978-1-4471-2155-8_6.pdf
Size:
379.84 KB
Format:
Adobe Portable Document Format