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Source: Zekeriya Anil Guven, anilguven1055 '@' gmail.com, Ege University, Department of Computer Engineering Data Set Information: Dataset consists of 7 news type labels. These labels are economy, politics, life, technology, magazine, health, sport. This dataset was created by me via Mynet, Milliyet, etc websites.
Attribute Information: Attributes are economy, politics, life, technology, magazine, health, sport. Relevant Papers: Güven, Z. A., Diri, B., & Çakaloǧlu, T. (2018). Classification of New Titles by Two Stage Latent Dirichlet Allocation. Proceedings - 2018 Innovations in Intelligent Systems and Applications Conference, ASYU 2018. [Web Link]
Citation Request: Guven, Z. A., Diri, B., & Cakaloglu, T. (2019). Comparison of Topic Modeling Methods for Type Detection of Turkish News. UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering. [Web Link] |
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