Analysis of vision statements of firms by using text mining techniques
2012
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Advisor: Doç. Dr. İpek Deveci Kocakoç
Abstract (EN)
The amount of raw data in databases available today increases each passing day. The knowledge that desired to be obtained from the raw data also increased the need for information to be accurate and reliable. For this reason, data mining has become an important area of study. Mining and analysis of data that is obtained in numerical form could easily be done; however, analyzing the data in the text form has a major case of need. Thus, studies that have been made in text mining area have increased. Text mining, which makes the conversion of textual data available for being input of data mining algorithms, is crucial today.In this study, corporate vision statements are taken as a source of textual data. The corporate investigated are taken from the Capital Magazine?s ?Most Admired Companies 2010? survey. These vision statements have been analyzed via Statistica software and results of the analyses are interpreted according to criteria of reputation.Keywords: Data Mining, Text Mining, Reputation Management and Vision Statements
Author
Dr. Cemile Melek
Institution
How to Cite
Cemile Melek (Master Thesis). Analysis of vision statements of firms by using text mining techniques, 2012, Dokuz Eylül University.
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