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Using of Data Mining Method for Analysis of Social Networks
Novosad, Andrej ; Očenášek, Pavel (referee) ; Bartík, Vladimír (advisor)
Thesis discusses data mining the social media. It gives an introduction about the topic of data mining and possible mining methods. Thesis also explores social media and social networks, what are they able to offer and what problems do they bring. Three different APIs of three social networking sites are examined with their opportunities they provide for data mining. Techniques of text mining and document classification are explored. An implementation of a web application that mines data from social site Twitter using the algorithm SVM is being described. Implemented application is classifying tweets based on their text where classes represent tweets' continents of origin. Several experiments executed both in RapidMiner software and in implemented web application are then proposed and their results examined.
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Social Network from Photo Gallery
Polesný, Ondřej ; Přibyl, Bronislav (referee) ; Mlích, Jozef (advisor)
This thesis deals with recognition of persons and their relationships from static images and presents ways in which these information can be used. That includes methods for detection and recognition of faces, presentation of photos in web-based gallery and methods for recognition of relationships between photographed persons. Part of this thesis is evaluation of the results, both in terms of program success in automated operations by establishing a set of test data with known relationships between people, and in terms of efficiency and functionality of the system for end users.
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Social Network from Photo Gallery
Polesný, Ondřej ; Přibyl, Bronislav (referee) ; Mlích, Jozef (advisor)
This thesis deals with recognition of persons and their relationships from static images and presents ways in which these information can be used. That includes methods for detection and recognition of faces, presentation of photos in web-based gallery and methods for recognition of relationships between photographed persons. Part of this thesis is evaluation of the results, both in terms of program success in automated operations by establishing a set of test data with known relationships between people, and in terms of efficiency and functionality of the system for end users.
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Using of Data Mining Method for Analysis of Social Networks
Novosad, Andrej ; Očenášek, Pavel (referee) ; Bartík, Vladimír (advisor)
Thesis discusses data mining the social media. It gives an introduction about the topic of data mining and possible mining methods. Thesis also explores social media and social networks, what are they able to offer and what problems do they bring. Three different APIs of three social networking sites are examined with their opportunities they provide for data mining. Techniques of text mining and document classification are explored. An implementation of a web application that mines data from social site Twitter using the algorithm SVM is being described. Implemented application is classifying tweets based on their text where classes represent tweets' continents of origin. Several experiments executed both in RapidMiner software and in implemented web application are then proposed and their results examined.
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