Most of the sectors transferred their information to the internet environment once the technology used became widespread and cheap. Print media organizations, which have a vital role in informing public opinion, and the data that are the services of these organizations are also shared over internet media. The fact that the continuously increasing amount of data includes the rich data it causes interesting and important data to be overlooked. Having large numbers of responses returned from queries about a specific event, person or place brings query owners face to face with unwanted or unrelated query results. Therefore, it is necessary to access textual data in press-publication sources that are reachable over internet in a fast and effective way and to introduce studies about producing meaningful and important information from these resources.
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Ülker, E., Siramkaya, E., Arslan, A. (2008). The Categorical Distinction Annexations to Maximal Associations Discovered from Web Database by Rough Set Theory to Increase the Quality. In: Huang, X., Chen, YS., Ao, SI. (eds) Advances in Communication Systems and Electrical Engineering. Lecture Notes in Electrical Engineering, vol 4. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74938-9_18
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