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Analysis of Data on Social Networks Based on Data Mining
Fešar, Marek ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
The thesis presents general principles of data mining and it also focuses on specific needs of social networks. Certain social networks, chosen with respect to popularity and availability to Czech users, are discussed from various points of view. The benefits and drawbacks of each are also mentioned. Afterwards, one suitable API is selected for futher analysis. The project explains harvesting data via Twitter API and the process of mining of data from this particular network. Design of a mining algorithm inspired by density based clustering methods is described. The implementation is explained in its own chapter, preceded by thorough explanation of MVC architectural pattern. In the end some examples of usage of gathered knowledge are shown as well as possibility of future extensions.
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A Tool for Editing and Comparing LMF Dictionaries
Fešar, Marek ; Kouřil, Jan (referee) ; Smrž, Pavel (advisor)
The diploma thesis presents dictionary formats and focuses on principles and semantics of data storage using Lexical Markup Framework. Contains information on relationship between the framework and Data Category Registry, which is part of the ISO standard for further dictionary data specification. After that, the Oracle Berkeley database system for XML document storage is mentioned followed by approaches for addressing documents and its portions. Methods for dictionary comparison are being described as well as grouping and changing dictionary content. Help on the process of dictionary modification must be provided to the user in the way of showing expected features, relevant to the selected element.
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A Tool for Editing and Comparing LMF Dictionaries
Fešar, Marek ; Kouřil, Jan (referee) ; Smrž, Pavel (advisor)
The diploma thesis presents dictionary formats and focuses on principles and semantics of data storage using Lexical Markup Framework. Contains information on relationship between the framework and Data Category Registry, which is part of the ISO standard for further dictionary data specification. After that, the Oracle Berkeley database system for XML document storage is mentioned followed by approaches for addressing documents and its portions. Methods for dictionary comparison are being described as well as grouping and changing dictionary content. Help on the process of dictionary modification must be provided to the user in the way of showing expected features, relevant to the selected element.
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Analysis of Data on Social Networks Based on Data Mining
Fešar, Marek ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
The thesis presents general principles of data mining and it also focuses on specific needs of social networks. Certain social networks, chosen with respect to popularity and availability to Czech users, are discussed from various points of view. The benefits and drawbacks of each are also mentioned. Afterwards, one suitable API is selected for futher analysis. The project explains harvesting data via Twitter API and the process of mining of data from this particular network. Design of a mining algorithm inspired by density based clustering methods is described. The implementation is explained in its own chapter, preceded by thorough explanation of MVC architectural pattern. In the end some examples of usage of gathered knowledge are shown as well as possibility of future extensions.
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