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Analysis of biographical narratives using computer-assisted text analysis
Čepelák, Václav ; Hájek, Martin (advisor) ; Soukup, Petr (referee)
Besides the social survey data, texts have been an important source of sociological data since the beginning of the development of sociological methodology. Text analysis methods contain two main branches of development: Bernard Berelson's content analysis and Hans-Georg Gadamer's hermeneutic analysis. Both these methodological branches have been influenced by the development of information technologies in the last twenty years. The thesis presented here deals with one of the methods of computer text analysis (CATA), which stands on the border between these two methodological streams, a method of analyzing words' collocations in texts. The thesis presents the method in the context of other methods of text analysis, and mentions sources of inspiration for further development of these methods - corpus linguistics and text mining. The second part discusses the different steps of words' collocation analysis: building a text corpus, dictionary compilation, calculation of data matrix and visualisation of words' distances using multidimensional scaling (MDS). The method is also applied to a specific data, two text corpora compiled from transcripts of biographical interviews with actors of Czechoslovak normalization - with dissidents and Communist functionaries. Quality of the models is assessed, depending...
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Emergence of space geometries from quantum entanglement
Lukeš, Petr ; Scholtz, Martin (advisor) ; Svítek, Otakar (referee) ; Švarc, Robert (referee)
MASTER THESIS Petr Lukeš Emergence of space geometries from quantum entanglement Institute of Theoretical Physics Supervisor of the master thesis: Mgr. Martin Scholtz, Ph.D. Study programme: Physics Study branch: Theoretical physics Prague 2019 Abstract: Connecting the field of Quantum Physics and General Relativity is one of the main interests of contemporary Theoretical Physics. This work attempts to find solution to simplified version of this problem. Firstly entropy is shown to be a good meeting point between the two different theories. Then some of entropy's less intuitive properties are shown, namely its dependence on area, not volume. This relation is studied from both Relativistic and Quantum viewpoint. After- wards there is a short description of a quantum model interpretable as geometry based on the information between its subsystems. Lastly, results of computations within this model are presented.
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Dimension Reduction Techniques in Morhpometrics
Kratochvíl, Jakub ; Pelikán, Josef (advisor) ; Mráz, František (referee)
This thesis centers around dimensionality reduction and its usage on landmark-type data which are often used in anthropology and morphometrics. In particular we focus on non-linear dimensionality reduction methods - locally linear embedding and multidimensional scaling. We introduce a new approach to dimensionality reduction called multipass dimensionality reduction and show that improves the quality of classification as well as requiring less dimensions for successful classification than the traditional singlepass methods.
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Analysis of biographical narratives using computer-assisted text analysis
Čepelák, Václav ; Hájek, Martin (advisor) ; Soukup, Petr (referee)
Besides the social survey data, texts have been an important source of sociological data since the beginning of the development of sociological methodology. Text analysis methods contain two main branches of development: Bernard Berelson's content analysis and Hans-Georg Gadamer's hermeneutic analysis. Both these methodological branches have been influenced by the development of information technologies in the last twenty years. The thesis presented here deals with one of the methods of computer text analysis (CATA), which stands on the border between these two methodological streams, a method of analyzing words' collocations in texts. The thesis presents the method in the context of other methods of text analysis, and mentions sources of inspiration for further development of these methods - corpus linguistics and text mining. The second part discusses the different steps of words' collocation analysis: building a text corpus, dictionary compilation, calculation of data matrix and visualisation of words' distances using multidimensional scaling (MDS). The method is also applied to a specific data, two text corpora compiled from transcripts of biographical interviews with actors of Czechoslovak normalization - with dissidents and Communist functionaries. Quality of the models is assessed, depending...
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Zjišťování skupin podobných proměnných v systémech SAS a SPSS
Marková, Monika ; Řezanková, Hana (advisor) ; Húsek, Dušan (referee)
My diploma thesis focuses on the comparison of possibilities of the statistical software SAS and SPSS in the area of the factor and cluster analysis and the multidimensional scaling. They deal with the methods for identifying groups of the similar statistical values (variables). The ascertained relations among the variables can serve to decrease the proportion vectors of the variables, which describe the individual monitored objects (statistical units), which helps us to apply other various methods, for example the regression or discriminant analysis. By one of the ways for finding the similarity of variables in the cluster analysis or the multidimensional scaling is searching for their relations. Whereas the base of the factor analysis is the formulation of the relation between two variables by means of the covariances, eventually Pearson correlation coefficient, it is possible to use also coefficients of correlation for the cluster analysis and the multidimensional scaling, in some case other measures. The thesis describes mainly the command syntax of the procedures implemented in SAS and SPSS. The meaning of the individual parametres and the partial specifications of each command are explained. The results gained by various types of analyses are compared on the basis of the real dataset. The possibilities of the statistical software SAS and SPSS are evaluated in the conclusion and it is referred to their advantages or disadvantages. The attention is also paid, for example, to the form of the input dataset, to the quaility of outputs or to the partial methods.
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