|
|
Word Games for Acquiring Linguistic Data
Koriťák, Jan ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis focuses on design and implementation of a basic word game for guessing given word with knowledge of its paraphrase. The output of the game is annotated word data, which can be further used as a base in creation of parallel of paraphrase dictionary. The game consist of two mutually communicating parts - the client part, which mostly takes care of displaying the game interface and the server part, which takes care of the actual computation. There were used modern web technologies during implementation, especially client-side JavaScript a server-side Node.js.
|
|
| |
|
|
Automatic Keyword Suggestion
Šimara, Svatopluk ; Škoda, Petr (referee) ; Otrusina, Lubomír (advisor)
This thesis deals with the automatic keywords suggestion. The suggestion is based only on the statistic methods. For the analysis are used diploma thesis and similar documents. Statistic methods are detailed tested and evaluated by using these documents. For the final keywords suggestion ale chosen only the most successful methods. In the end, the suggested keywords are compared with the manual assigned keywords.
|
|
|
Keyword Extraction from Scientific Articles
Kyjovský, Marek ; Schmidt, Marek (referee) ; Smrž, Pavel (advisor)
The main goal of this thesis is to explore basic methods which is using for extraction of important words from articles. After that try to understand character of using keywords from the available set of testing English articles. Based on these findings, try to design and to implement a system which is using this methods. Then created system testing on the real English articles and after that try to analyse results.
|
|
|
Semantic Relatedness of Scientific Articles
Dresto, Erik ; Schmidt, Marek (referee) ; Otrusina, Lubomír (advisor)
The main goal of the thesis is to explore basic methods which can be used to find semantically related scientific articles. All the methods are explained in detail, compared and in the end evaluated by the standard metrics. Based on the evaluation, a new method for computing semantic similarity of scientific articles is proposed. The proposed method is based on the current state-of-the-art methods and adds the another important factor for computing similarity - citations. Using citations is important, since they represent a static bond between the articles. Finally, the proposed method is evaluated on the real data and compared with other described methods.
|
|
|
Automatic Keyword Detection
Mašláňová, Marcela ; Karafiát, Martin (referee) ; Smrž, Pavel (advisor)
The main goal of this work is to survey the field of the automatic keywords tagging in a text and apply this background for automatically generating back-of-the-book indexes. Human made indexes are expensive and that's why we are looking for (semi)-automatic methods indexes. The theoretical part of this thesis deals with collocations, which are an important part of generated indexes. The practical part of the work applies selected methods to testing data and summarize results of experiments.
|
|
|
Keyword Extraction from Documents
Matička, Jiří ; Očenášek, Pavel (referee) ; Bartík, Vladimír (advisor)
This thesis pursues an automated extraction of keywords from documents. Its goal is to design and implement an application which will be able to extract an appropriate set of keywords related to the contents of the document. The major requirements for the application are speed and accuracy. That is why the first part of the thesis talks about already developed principles and a detailed classification based on various criteria. The second part is focused on choosing and a thorough functional describing of one of the methods which should have been used for extracting the keywords. The next parts contain a detailed draft of the application and its implementation. Finally, the last chapter is particularly important due to testing the application on a group of text documents and evaluating final results of the extraction process.
|
|
| |
|
|
Leadership and management of employees in the construction company
Kráčmarová, Martina ; Malá, Stanislava (referee) ; Linkeschová, Dana (advisor)
Abstract The subject of this Bachelor Thesis is "Leadership and staff management in the construction business." In the theoretical part there is briefly described the concept of management, construction management, as well as employee management and leadership, particularly in terms of communication, listening and teamwork synergies associated with that. I was looking into a personal nature of a manager, which is an important aspect influencing the management work, reflected in all managers’ activities. In the empirical part, besides working hypotheses, there is a questionnaire utilized to form the whole issue of the empirical investigation and its evaluation. In the conclusion and in the recommendations we can find trends and experience that result from the research, as an inspiration for the practice of a construction enterprise.
|
|
|
Methods of SEO optimization
Karásek, Martin ; Chudán, David (advisor) ; Sklenák, Vilém (referee)
The theme of this thesis is the methodology of SEO for two differently oriented websites - first is about information and news from finance, the second is a presenta-tion of services construction company. The aim is to use SEO to ensure quality visits to both websites and describe the differences in the course of optimizing each of them. Achieving targets is based on the overall analysis of the original performance of web-sites and subsequent adjustments leading to better visibility on internet. My contribution to the field of SEO optimization is demonstration of analytical methods and websites corrections I made, description and demonstration of special software and online tools for optimization that can be used for commercial and non-commercial websites as well. The work progresses from theoretical introduction to the field of SEO and analysis of website to practical part, where I describe the steps of optimization as well as the achieved results.
|
guest ::
