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Analysis of Czech football from the content of social networks
Zálepa, Martin ; Jelínek, Ivan (advisor) ; Oškera, Radek (referee)
The main aim of this report is to analyse the Czech football scene using the unstructured data from ever evolving social media platform Facebook. The objectives are to identify key concepts using the Czech football social community, dis-covering the most popular club, understanding the buzz and reactions on independent sport portals and identifying the relation between social sentiment and the actual football club performance. These objectives are met using defined methods including collection, analysis and evaluation of the data, applying the key data metrics and relevant literature research, as well as graphical visualisation of the results. This report consists of five chapters split into theoretical and practical part. The first three chapters, the theoretical part, are focusing on the explanation of the social media in general, using the literature research and online analytical tools, and introduction of the Czech foot-ball scene from both commercial and marketing standpoint. The last chapter describes the methods applied and outlines the data architecture used for the analysis. The practical part includes a definition of the key metrics that are initially defined as business assumptions and consequently applied and transformed into the basis of this analysis. The last chapter of the practical part forms the actual data analysis and its evaluation as well as visualisation of the partial results. The main purpose of this report is to demonstrate the benefits of analysing unstructured data from social media platforms that can be connected and downloaded using the tools such as Elasticsearch and Kibana, that enable to discover, filter and visualise the data. Gaining an insight into social media and visualisation of the data is also beneficial to spon-sors and football clubs as it can maximise the power of their marketing as well as enable them to understand the reputation and consumer perception.
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Virtual Image of the Czech Sports via Unstructured Data Analysis
Levý, Jan ; Jelínek, Ivan (advisor) ; Profousová, Lenka (referee)
Analysis of unstructured data from social media is an important and constantly growing part of information technologies' application in the marketing context. The aims of this bachelors' thesis include creating a trial platform for the analysis of un-structured data from Facebook, research and application of suitable methods and metrics for the analysis, summarizing the analysis' findings and visualisation of selected metrics by means of a dashboard. The thesis' structure corresponds to the methods used for metting the aims set and compo-ses of seven parts. The first part summarizes motives for social media analysis, deals with the approach to the topic in the contemporary scientific papers and discusses comercial tools that could be used for such analysis. The second part describes gathering of data with a crawler, setting the connection and getting the access rights to the data sources. The structure of downloaded documents and appropriate choice of data sources is also described in this part. The third part adresses the tools used for the analysis, namely Elas-ticsearch and Kibana. The fourth part defines possible questions that may be asked in the context of Czech sports image on Facebook. The fifth part identifies the metrics necessary for the questions assesment and describes corresponding data selection. The sixth part completes the analysis itself and summarizes its findnings. The seventh part describes Ki-bana's dashboard use for effective summarizing of selected metrics. The main bachelors' thesis contribution lies in the illustration of social media analysis pos-sibilities on the example of Czech sportsmen and Czech sports in general on Facebook. A crawler has been used to gather the data for the purpose of the analysis. The other em-ployed tools included Elasticsearch and Kibana, which have enabled the data selection and visualisation. The analytical approach consisted of four parts; definition of analytical que-stions, definition of methods and metrics to find answers to these questions, followed by the analysis itself and the summary of results. The following points belong to the analysis' findnings: identification of sportsman with the highest marketing potential, comparison of analysed sports according to the perceived image by fans and desgination of the pages with most interacting followers.
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Příprava a provedení analýzy poštovních konferencí Debianu
Buriánek, Jan ; Bruckner, Tomáš (advisor) ; Jelínek, Ivan (referee)
This bachelor thesis is devoted to techniques and technologies within area of unstructured data processing. This processing includes building an infrastructure to make it feasible and obtaining data of all Debian mailing lists contents. In order to fullfil the main goal of this thesis, there has been downloaded entire content of Debian mailing lists. Debian mailing lists are a valuable source containing information about the Debian operating system and its software components. It proves that its software components are well-made reliable open-source tools. It is expected that this source of data is able to unveil plenty of unexpected relations. Used data and technologies as the Elasticsearch search and analysis engine are excelent tools and resources to conduct research over such type of comparism of mind and computer outputs as in case of Searle's axioms from article "Is Brain's mind a computer program?". This thesis is attempting to prove that such analysis is feasible.
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Analysis of IT public tenders
Vikorová, Dana ; Bruckner, Tomáš (advisor) ; Šebesta, Michal (referee)
Public tenders in the field of information technology are important public investments, which should assist public sector to function more efficiently. The central topic of this paper is mapping the investments of public sector in the information technology, discovering the main supply relations created during this process and creating the basics of the price catalogue for IT professions. Analysis of unstructured data with Elasticsearch and questionnaire for IT companies located in Prague were used for this purpose. The main contribution of this paper is discovering the biggest investors in information technology, comparing expenditures of ministries, government and cities. Moreover, discovering the biggest suppliers of this technology for ministries and for the whole public sector and obtaining thirty price catalogues from IT companies and creating the basics of twenty IT professions price catalogue. This thesis is divided into four main parts. The first part provides an overview on public tenders, analysis of unstructured data and Elasticsearch. The second part deals with finding the biggest investors from the public sector who invest in information technology. The third part analyses relations between ministries and their IT suppliers and provides the list of twenty biggest suppliers for the public sector. In the last part this thesis describes analysis of a questionnaire dedicated to manday costs of twenty IT professions and creates the basic of the price catalogue for these jobs.
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