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Conference Papers Year : 2018

Segmentation of Social Network Users in Turkey

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Abstract

In the digital world that we are living on companies needs as much as knowledge as they can collect to survive. Knowledge creation process requires as much as data to create more dimension on the knowledge. As the knowledge created with data in different dimensions it become more useful for the company. At this point, Knowledge Management helps creation of additional information sources to be used for knowledge accumulation.In today’s digital world social networks are fruitful data sources for nearly all of industries. Companies that utilizes this data source easily add another dimension to their information base and creates more revealing knowledge to their Knowledge Base. With automated processes, up-to-date information can be added to the Knowledge Base of the companies with well-known, easy to apply methods with little effort.In this paper, we have conducted a research to reveal segments of the Turkish Twitter users using Self Organizing Maps method. Results show that, using segmentation we can create an important knowledge source about focus of interest, which could be used as a tool for analyzing the market penetration of the advertisements.
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Dates and versions

hal-01950013 , version 1 (10-12-2018)

Licence

Attribution - CC BY 4.0

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Mahmut Ali Özkuran, Gulgun Kayakutlu. Segmentation of Social Network Users in Turkey. 4th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2016, New York, NY, United States. pp.119-131, ⟨10.1007/978-3-319-92928-6_8⟩. ⟨hal-01950013⟩
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