National Repository of Grey Literature 5 records found  Search took 0.01 seconds. 
Methods of Document Summarization on the Web
Belica, Michal ; Očenášek, Pavel (referee) ; Bartík, Vladimír (advisor)
The work deals with automatic summarization of documents in HTML format. As a language of web documents, Czech language has been chosen. The project is focused on algorithms of text summarization. The work also includes document preprocessing for summarization and conversion of text into representation suitable for summarization algorithms. General text mining is also briefly discussed but the project is mainly focused on the automatic document summarization. Two simple summarization algorithms are introduced. Then, the main attention is paid to an advanced algorithm that uses latent semantic analysis. Result of the work is a design and implementation of summarization module for Python language. Final part of the work contains evaluation of summaries generated by implemented summarization methods and their subjective comparison of the author.
Code
Belica, Michal ; Janoušek, Vladimír (referee) ; Martinek, David (advisor)
This bachelor's thesis describes implementation of plugin of Code
Code
Belica, Michal ; Janoušek, Vladimír (referee) ; Martinek, David (advisor)
This bachelor's thesis describes implementation of plugin of Code
Methods of Document Summarization on the Web
Belica, Michal ; Očenášek, Pavel (referee) ; Bartík, Vladimír (advisor)
The work deals with automatic summarization of documents in HTML format. As a language of web documents, Czech language has been chosen. The project is focused on algorithms of text summarization. The work also includes document preprocessing for summarization and conversion of text into representation suitable for summarization algorithms. General text mining is also briefly discussed but the project is mainly focused on the automatic document summarization. Two simple summarization algorithms are introduced. Then, the main attention is paid to an advanced algorithm that uses latent semantic analysis. Result of the work is a design and implementation of summarization module for Python language. Final part of the work contains evaluation of summaries generated by implemented summarization methods and their subjective comparison of the author.
Research of the GE Money Brand - Rebranding and Olympic Campaign
Belica, Michal ; Postler, Milan (advisor) ; Zamazalová, Marcela (referee)
Brand, logo - explanation. Brand management and rebranding. General Electric, GE Money. Research of the GE Money Brand in 2006 and 2008.

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4 Belica, Martin
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