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Data Mining in Social Networks
Raška, Jiří ; Očenášek, Pavel (referee) ; Bartík, Vladimír (advisor)
This thesis deals with knowledge discovery from social media. This thesis is focused on feature based opinion mining from user reviews. In theoretical part were described methods of opinion mining and natural language processing. Main parts of this thesis were design and implementation of library for opinion mining based on Stanford Parser and lexicon WordNet. For feature identi cation was used dependency grammar, implicit features were mined with method CoAR and opinions were classi ed with supervised algorithm. Finally were given experiments with implemented library and examples of usage.
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WordNet Database User Interface Innovation
Kopřiva, Adam ; Jaša, Petr (referee) ; Chmelař, Petr (advisor)
This thesis considers innovations of graphical user interface for JWord 3.0. It's a program, which works with electronic lexical database of English - WordNet. The words in this database aren't sorted in the alphabetical order like in usual dictionaries, but they are grouped to synonymic groups. These groups are then connected with different semantic relations. During the implementation design I have focused mainly on the speed of searching for informations about the entered word. This lead to the change of searching engine from searching in files to querying database. The resulting program is composed of two parts - program and graphical user interface. Program interface works with MySQL WordNet 3.0 database. User interface then shows meanings of the entered word and relations to other words (synonyms, antonyms, hyponyms, hypernyms).
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TRECVid Search Information Retrieval
Čeloud, David ; Mlích, Jozef (referee) ; Chmelař, Petr (advisor)
The master's thesis deals with Information Retrieval. It summarizes the knowledge in the field of Information Retrieval theory. Furthermore, the work gives an overview of models used in Information Retrieval, the data and the actual issues and their possible solutions. The practical part of the master's thesis is focused on the implementation of methods of information retrieval in textual data. The last part is dedicated to experiments validating the implementation and its possible improvements.
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Information Technologies in Psychology
Ličko, Jozef ; Grézl, František (referee) ; Smrž, Pavel (advisor)
We focus on characteristic traits recognition of the autor from his written text. This thesis, in particular, deals with the implementaion of Kreitler psychosemantics method. The result of our work includes our own vocabulary, that is used to assign one of the parameters from the method. Implemented solution is successful when used on a set of words that was used as a source for the vocabulary construction.
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XML Databases for Dictionary Data Management
Samia, Michel ; Dytrych, Jaroslav (referee) ; Smrž, Pavel (advisor)
The following diploma thesis deals with dictionary data processing, especially those in XML based formats. At first, the reader is acquainted with linguistic and lexicographical terms used in this work. Then particular lexicographical data format types and specific formats are introduced. Their advantages and disadvantages are discussed as well. According to previously set criteria, the LMF format has been chosen for design and implementation of Python application, which focuses especially on intelligent merging of more dictionaries into one. After passing all unit tests, this application has been used for processing LMF dictionaries, located on the faculty server of the research group for natural language processing. Finally, the advantages and disadvantages of this application are discussed and ways of further usage and extension are suggested.
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Recognition of emotions in Czech texts
Červenec, Radek ; Smékal, Zdeněk (referee) ; Burget, Radim (advisor)
With advances in information and communication technologies over the past few years, the amount of information stored in the form of electronic text documents has been rapidly growing. Since the human abilities to effectively process and analyze large amounts of information are limited, there is an increasing demand for tools enabling to automatically analyze these documents and benefit from their emotional content. These kinds of systems have extensive applications. The purpose of this work is to design and implement a system for identifying expression of emotions in Czech texts. The proposed system is based mainly on machine learning methods and therefore design and creation of a training set is described as well. The training set is eventually utilized to create a model of classifier using the SVM. For the purpose of improving classification results, additional components were integrated into the system, such as lexical database, lemmatizer or derived keyword dictionary. The thesis also presents results of text documents classification into defined emotion classes and evaluates various approaches to categorization.
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XML Databases for Dictionary Data Management
Samia, Michel ; Dytrych, Jaroslav (referee) ; Smrž, Pavel (advisor)
The following diploma thesis deals with dictionary data processing, especially those in XML based formats. At first, the reader is acquainted with linguistic and lexicographical terms used in this work. Then particular lexicographical data format types and specific formats are introduced. Their advantages and disadvantages are discussed as well. According to previously set criteria, the LMF format has been chosen for design and implementation of Python application, which focuses especially on intelligent merging of more dictionaries into one. After passing all unit tests, this application has been used for processing LMF dictionaries, located on the faculty server of the research group for natural language processing. Finally, the advantages and disadvantages of this application are discussed and ways of further usage and extension are suggested.
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WordNet Database User Interface Innovation
Kopřiva, Adam ; Jaša, Petr (referee) ; Chmelař, Petr (advisor)
This thesis considers innovations of graphical user interface for JWord 3.0. It's a program, which works with electronic lexical database of English - WordNet. The words in this database aren't sorted in the alphabetical order like in usual dictionaries, but they are grouped to synonymic groups. These groups are then connected with different semantic relations. During the implementation design I have focused mainly on the speed of searching for informations about the entered word. This lead to the change of searching engine from searching in files to querying database. The resulting program is composed of two parts - program and graphical user interface. Program interface works with MySQL WordNet 3.0 database. User interface then shows meanings of the entered word and relations to other words (synonyms, antonyms, hyponyms, hypernyms).
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TRECVid Search Information Retrieval
Čeloud, David ; Mlích, Jozef (referee) ; Chmelař, Petr (advisor)
The master's thesis deals with Information Retrieval. It summarizes the knowledge in the field of Information Retrieval theory. Furthermore, the work gives an overview of models used in Information Retrieval, the data and the actual issues and their possible solutions. The practical part of the master's thesis is focused on the implementation of methods of information retrieval in textual data. The last part is dedicated to experiments validating the implementation and its possible improvements.
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Information Technologies in Psychology
Ličko, Jozef ; Grézl, František (referee) ; Smrž, Pavel (advisor)
We focus on characteristic traits recognition of the autor from his written text. This thesis, in particular, deals with the implementaion of Kreitler psychosemantics method. The result of our work includes our own vocabulary, that is used to assign one of the parameters from the method. Implemented solution is successful when used on a set of words that was used as a source for the vocabulary construction.
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