This graduate thesis deals with the analysis of unstructured data from public social media. In particular, it deals with the analysis of data from social media of Vodafone Czech Republic a.s. This thesis is divided into two parts. The first part provides theoretical background for the second part. Therefore, the first part describes social media, structured and unstructured data and tools which are used for analysing of unstructured data. In the second part, tool Watson is used for the analysis of publicly available data. Then, methodology is designed to control the analysis process and subsequently this methodology used in the formation of the pilot application that has to verify the functionality of unstructured data by tool Watson. The results of the analysis are in the conclusion. The main benefits of this thesis are the development of a pilot application of Watson and the verification of its functionality. The pilot application cannot be equated with a complete analysis that can be done by Watson. But this pilot application may work as a demonstration of Watson's functionalities.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:192396 |
| Date | January 2014 |
| Creators | Šverák, Martin |
| Contributors | Molnár, Zdeněk, Hawlová, Kateřina |
| Publisher | Vysoká škola ekonomická v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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