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Semantic Enrichment Component
Doležal, Jan ; Otrusina, Lubomír (referee) ; Dytrych, Jaroslav (advisor)
This master's thesis describes Semantic Enrichment Component (SEC), that searches entities (e.g., persons or places) in the input text document and returns information about them. The goals of this component are to create a single interface for named entity recognition tools, to enable parallel document processing, to save memory while using the knowledge base, and to speed up access to its content. To achieve these goals, the output of the named entity recognition tools in the text was specified, the tool for storing the preprocessed knowledge base into the shared memory was implemented, and the client-server scheme was used to create the component.
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Text document plagiarism detector
Kořínek, Lukáš ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This diploma thesis is concerned with research on available methods of plagiarism detection and then with design and implementation of such detector. Primary aim is to detect plagiarism within academic works or theses issued at BUT. The detector uses sophisticated preprocessing algorithms to store documents in its own corpus (document database). Implemented comparison algorithms are designed for parallel execution on graphical processing units and they compare a single subject document against all other documents within the corpus in the shortest time possible, enabling near real-time detection while maintaining acceptable quality of output.
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Web Application for Intuitive Composition of Text Filters
Sadílek, Jakub ; Kolář, Martin (referee) ; Herout, Adam (advisor)
The aim of this thesis is to provide intuitive and easy to use tool for advanced text filtration with the option of easy prototyping and tuning, without the necessity to know programming techniques. The basic principle is the choice of text tools and their inserting into the sequence, so called pipeline, which is typical for shell, from which the application draws inspiration. Tools can be also additionally edited or swapped. The application is aimed primarily at users unfamiliar with this principle or at programmers, for whom it is time-efficient to have their text modified this way and afterwards generate equivalent shell expression. Another way of tuning is realized using so called breakpoints, through which it is easy to quickly focus on chosen lines of the text. This way, the application offers functionality in two separated modes, between which the users can switch anytime according to their needs.
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Recognition of emotions in text using artificial intelligence
Vylíčil, Radek ; Karásek, Jan (referee) ; Mašek, Jan (advisor)
This thesis deals with the recognition of emotions from text using machine learning. The text describes methods how to train and test an recognition models. The main contribution of this thesis consists in creation decision tree in Java programming language. Created algorithm was integrated as plugin into the RapidMiner tool. The thesis contains some created examples for executing in RapidMiner. The functionality of decision tree was demonstrated on created database.
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Recommender System for Web Articles
Kočí, Jan ; Kesiraju, Santosh (referee) ; Fajčík, Martin (advisor)
Tématem této bakalářské práce jsou doporučovací systémy pro webové články. Tato práce nejdříve uvádí nejpopulárnější metody z této oblasti a vysvětluje jejich principy, následně navrhuje požití vlastní architektury, založené na neuronových sítích, která aplikuje metodu Skip-gram negative sampling na problematiku doporučování. V další části pak implementuje tuto architekturu společně s několika dalšími modely, požívající algoritmus SVD, collaborative filtering s algoritmem ALS a také metodu Doc2Vec k vytvoření vektorové reprezentace z obsahu získaných článků. Na závěr vytváří tři evaluační metriky, konkrétně metriky RANK, Recall at k a Precision at k, a vyhodnocuje kvalitu implementovaných modelů srovnáním výsledků s nejmodernějšími modely. Kromě toho také diskutuje o roli a smyslu doporučovacích systémů ve společnosti a uvádí motivaci pro jejich používání.
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The Use of Artificial Intelligence by High School Students When Writing a Paper
Brabenec, Daniel ; Andreska, Jan (advisor) ; Hanel, Lubomír (referee)
This master's thesis concerns using artificial intelligence by six-year grammar school students when composing short essays on assigned biological topics. The issue is very current and discussed by the general public as a forthcoming change for education and, consequently, for society altogether. Therefore, the thesis aims to describe how grammar school pupils work with artificial intelligence, how often and for what purposes they use it, what trials and errors may simultaneously arise, and to analogise the constructed papers from various viewpoints. In accordance with the thesis's objective, a total of six research questions are formulated, which are answered in the thesis. Based on the answers to the research questions, two out of three established hypotheses are disproved. Mixed research combining quantitative and qualitative approaches is conducted to answer the research questions and test the suppositions. During lectures, students are assigned to create an essay on one of three biological topics (cell structure, plant reproduction, and amphibians in the Czech Republic) using internet resources and artificial intelligence. These writings are analysed using the open coding method based on grounded theory. The second segment is a questionnaire focusing on students' use of artificial...
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Shlukování textových dokumentů a jejich částí
Zápotocký, Radoslav ; Kopecký, Michal (advisor) ; Skopal, Tomáš (referee)
This thesis analyses use of vector-space model and data clustering approaches on parts of single document - on chapters, paragraphs and sentences - to allow simple navigation between similar parts. A simulation application (SimDIS), written in C# programming language is also part of this thesis. The application implements the described model and provides tools for visualization of vectors and clusters.
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Shlukování textových dokumentů a jejich částí
Zápotocký, Radoslav ; Kopecký, Michal (advisor) ; Skopal, Tomáš (referee)
This thesis analyses use of vector-space model and data clustering approaches on parts of single document - on chapters, paragraphs and sentences. A simulation application (SimDIS), written in C# programming language is also part of this thesis. The application implements the adjusted model and provides tools for visualization of vectors and clusters.
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Text document plagiarism detector
Kořínek, Lukáš ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This diploma thesis is concerned with research on available methods of plagiarism detection and then with design and implementation of such detector. Primary aim is to detect plagiarism within academic works or theses issued at BUT. The detector uses sophisticated preprocessing algorithms to store documents in its own corpus (document database). Implemented comparison algorithms are designed for parallel execution on graphical processing units and they compare a single subject document against all other documents within the corpus in the shortest time possible, enabling near real-time detection while maintaining acceptable quality of output.
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Aplikace pro získávání názorů z uživatelských recenzí
Švec, Jiří
This paper describes some current methods for customer's opinion mining and text processing. Application architecture is created along with database structure. Based on this architecture, new application is implemented. Emphasis is placed on automated downloading and processing of customers' reviews with opinion extraction and user-friendly presentation. Part of this paper is dedicated to optimizing the application for better efficiency and speed boost.
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