An Event-Based Hidden Makrov Model Approach To News Classification and Sequencing

dc.contributor.advisor Tekir, Selma
dc.contributor.author Çavuş, Engin
dc.date.accessioned 2014-11-20T07:51:28Z
dc.date.available 2014-11-20T07:51:28Z
dc.date.issued 2014
dc.description Thesis (Master)--Izmir Institute of Technology, Computer Engineering, Izmir, 2014 en_US
dc.description Includes bibliographical references (leaves: 28-29) en_US
dc.description Text in English; Abstract: Turkish and English en_US
dc.description vii, 32 leaves en_US
dc.description.abstract Over the past years the number of published news articles have an excessive increase. In the past, there was less channel of communication. Moreover the articles were classified by the human operators. In the course of time the means of the communication increased and expanded rapidly. The need for an automated news classification tool is inevitable. The text classification is a statistical machine learning procedure that individual text items are placed into groups based on quantitative information. In this study, an event based news classification and sequencing system is proposed, the model is explained. The decision making process is represented. A case study is prepared and analyzed. en_US
dc.identifier.uri https://hdl.handle.net/11147/4201
dc.language.iso en en_US
dc.publisher Izmir Institute of Technology en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject.lcsh Markov processes en_US
dc.subject.lcsh Multimedia systems--Computer programs en_US
dc.subject.lcsh Natural language processing (Computer science) en_US
dc.title An Event-Based Hidden Makrov Model Approach To News Classification and Sequencing en_US
dc.title.alternative Olay Tabanlı Gizli Markov Modeli Yaklaşımı ile Haber Sınıflandırması ve Sıralaması en_US
dc.type Master Thesis en_US
dspace.entity.type Publication
gdc.author.institutional Çavuş, Engin
gdc.coar.access open access
gdc.coar.type text::thesis::master thesis
gdc.description.department Thesis (Master)--İzmir Institute of Technology, Computer Engineering en_US
gdc.description.publicationcategory Tez en_US
gdc.description.scopusquality N/A
gdc.description.wosquality N/A
relation.isAuthorOfPublication.latestForDiscovery 57639474-3954-4f77-a84c-db8a079648a8
relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4014-8abe-a4dfe192da5e

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