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Turkish Headlines Dataset Data Set
Download: Data Folder, Data Set Description

Abstract: 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.

Data Set Characteristics:  

Text

Number of Instances:

4200

Area:

Computer

Attribute Characteristics:

N/A

Number of Attributes:

7

Date Donated

2021-04-14

Associated Tasks:

Classification, Clustering

Missing Values?

N/A

Number of Web Hits:

1625


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.
There are 600 headlines for each label in the dataset . Hence, total headlines count is 4200 for dataset.


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]

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]



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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