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Research Article Peer ReviewedAt least two reviewers Open Access

Determination of Furniture Trends in Different Cities Based on Twitter Data in Terms of Gender

1Bartın University
2Sinop University
✉ Corresponding author: Selahattin Bardak · sbardak@sinop.edu.tr
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Abstract

The increase in firms in the furniture industry has made competition difficult. In this competitive environment, it is important to collect data and extract meaningful information. Every second, large amounts of data are generated on the Internet. The use of social media in our country and in the world is constantly increasing. Therefore, social media offers great opportunities to examine markets and understand consumers. Knowing consumers provides competitive advantage in terms of competition. It is expensive and time consuming to learn about consumers through traditional methods. At this point, social networks such as Twitter have become an important alternative. You can get to Twitter about popular topics, people and places in real time. There are very limited number of publications on the use of data in social media in our country. In this study, tweets with “furniture” in Istanbul and Antalya were collected. Then, the rates of men and women who wrote tweets in these provinces were determined. In this way, Antalya and Istanbul were compared. Rapidminer software is used to collect tweets. Rapidminer software is widely used in data related studies. The results of the study showed that tweet data can be used effectively to identify consumers.

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Cite this article

Bardak, T., & Bardak, S. (2019). Determination of Furniture Trends in Different Cities Based on Twitter Data in Terms of Gender. In 4th International Symposium on Innovative Approaches in Engineering and Natural Sciences (pp. 52–54). SET Technology. https://doi.org/10.36287/setsci.4.6.020

Article History

Published
22 Dec 2019

License

© 2019 SET Technology. This article is distributed under the terms of the CC BY 4.0.

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
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