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 | 2023-11-13T09:38:23Z | |
| dc.date.available | 2023-11-13T09:38:23Z | |
| dc.date.issued | 2014 | |
| dc.department | Computer Engineering | en_US |
| 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 | http://standard-demo.gcris.com/handle/123456789/4877 | |
| dc.institutionauthor | Çavuş, Engin | |
| dc.language.iso | en | en_US |
| dc.oaire.dateofacceptance | 2014-01-01 | |
| dc.oaire.impulse | 0 | |
| dc.oaire.influence | 2.9837197E-9 | |
| dc.oaire.influence_alt | 0 | |
| dc.oaire.is_green | true | |
| dc.oaire.isindiamondjournal | false | |
| dc.oaire.keywords | Computer Engineering and Computer Science and Control | |
| dc.oaire.keywords | Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol | |
| dc.oaire.popularity | 1.0422565E-9 | |
| dc.oaire.popularity_alt | 0.0 | |
| dc.oaire.publiclyfunded | false | |
| dc.publisher | Izmir Institute of Technology | en_US |
| dc.relation.publicationcategory | Tez | 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 |