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Creating Dataset for Narrative Structure Recognition by Crowdsourcing
Ignác, Igor ; Dočekal, Martin (referee) ; Smrž, Pavel (advisor)
Goal of this work is creation of extensive dataset for recognition of narrative structure by crowdsourcing method. For this purpose, it was necessary to create a web interface which offers dataset of films for user annotation. The annotation of data gained from IMDb database is established on three different types of annotation. Users validate similarity of movies based on computation done by Sentence-BERT, extraction of keywords from movie plots done by RAKE and precomputed similarity between movies based on their keywords. User's gamification is based on points assignment, which are related with badges, achievements accomplishment and leader board of most successful users.
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Keyword Suggestion in the Central Portal of Czech Libraries
Balaga, Róbert ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis deals with various methods of keyphrase extraction from documents, specifically focused on documents from the Central Portal of Czech Libraries. Various methods from statistical, linguistic and graph-based methods have been implemented. Also a new method was suggested, that combines the statistical and linguistic approach. Individual methods have been tested and analyzed according to the standard evaluation metrics, with the suggested method achieving recall of 30 percent.
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Code Ownership Research in Large Organization
Šimonek, Jan ; Rychlý, Marek (referee) ; Kreslíková, Jitka (advisor)
This master's thesis is about code ownership in software projects and creating a tool that would improve cooperation by identifying code owners. The theoretical foundation for code ownership starts from Extreme Programming, explaining models of code ownership and the impact of code ownership on cooperation among teams and team members. The concept is demonstrated on a concrete software firm, where a potential for improvement is identified. The potential is exploited by a software tool, which is designed in the this thesis. The tool is capable of identifying code owners and experts for specific areas in the code based on data gathered from a version control system. The resulting information is made easily accessible. The tool is used to conduct a code ownership research in several projects, which allows me to confirm accuracy of the results. Usability and benefits of the tool is discussed in the final chapter.
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Creating Dataset for Narrative Structure Recognition by Crowdsourcing
Ignác, Igor ; Dočekal, Martin (referee) ; Smrž, Pavel (advisor)
Goal of this work is creation of extensive dataset for recognition of narrative structure by crowdsourcing method. For this purpose, it was necessary to create a web interface which offers dataset of films for user annotation. The annotation of data gained from IMDb database is established on three different types of annotation. Users validate similarity of movies based on computation done by Sentence-BERT, extraction of keywords from movie plots done by RAKE and precomputed similarity between movies based on their keywords. User's gamification is based on points assignment, which are related with badges, achievements accomplishment and leader board of most successful users.
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|
|
Keyword Suggestion in the Central Portal of Czech Libraries
Balaga, Róbert ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis deals with various methods of keyphrase extraction from documents, specifically focused on documents from the Central Portal of Czech Libraries. Various methods from statistical, linguistic and graph-based methods have been implemented. Also a new method was suggested, that combines the statistical and linguistic approach. Individual methods have been tested and analyzed according to the standard evaluation metrics, with the suggested method achieving recall of 30 percent.
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|
|
Code Ownership Research in Large Organization
Šimonek, Jan ; Rychlý, Marek (referee) ; Kreslíková, Jitka (advisor)
This master's thesis is about code ownership in software projects and creating a tool that would improve cooperation by identifying code owners. The theoretical foundation for code ownership starts from Extreme Programming, explaining models of code ownership and the impact of code ownership on cooperation among teams and team members. The concept is demonstrated on a concrete software firm, where a potential for improvement is identified. The potential is exploited by a software tool, which is designed in the this thesis. The tool is capable of identifying code owners and experts for specific areas in the code based on data gathered from a version control system. The resulting information is made easily accessible. The tool is used to conduct a code ownership research in several projects, which allows me to confirm accuracy of the results. Usability and benefits of the tool is discussed in the final chapter.
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