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Summarization of Documents from the Web
Škurla, Ján ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
Topic of this master's thesis is a summarization of the documents on the web. First, it deals with the issues of acquiring text from the web using wrapper. An overview of wrappers used as an inspiration for the future implementation is stated. This paper also includes various methods for creating summary (Luhn`s, Edmundson`s and KPC) from the text data. Application design for the text data extraction and summarization is also part of this paper. Application is based on Java platform and Swing graphic library.
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Methods of Document Summarization on the Web
Belica, Michal ; Očenášek, Pavel (referee) ; Bartík, Vladimír (advisor)
The work deals with automatic summarization of documents in HTML format. As a language of web documents, Czech language has been chosen. The project is focused on algorithms of text summarization. The work also includes document preprocessing for summarization and conversion of text into representation suitable for summarization algorithms. General text mining is also briefly discussed but the project is mainly focused on the automatic document summarization. Two simple summarization algorithms are introduced. Then, the main attention is paid to an advanced algorithm that uses latent semantic analysis. Result of the work is a design and implementation of summarization module for Python language. Final part of the work contains evaluation of summaries generated by implemented summarization methods and their subjective comparison of the author.
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Application for Text Summarization
Mička, Jakub ; Zendulka, Jaroslav (referee) ; Bartík, Vladimír (advisor)
This work is focused on an implementation a web application, which is a tool for automatic English text summarization. In result, automatic text summarization is made by TextRank and Latent semantic analysis method. Both of these methods are improved by named entity recognition. The main benefit of this work is proving that using the named entity recognition with Latent semantic analysis and especially with TextRank method leads to creation of higher quality summaries. This quality of the summaries was verified by ROUGE metrics.
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Processing of User Reviews
Cihlářová, Dita ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
Very often, people buy goods on the Internet that they can not see and try. They therefore rely on reviews of other customers. However, there may be too many reviews for a human to handle them quickly and comfortably. The aim of this work is to offer an application that can recognize in Czech reviews what features of a product are most commented and whether the commentary is positive or negative. The results can save a lot of time for e-shop customers and provide interesting feedback to the manufacturers of the products.
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Application for Text Summarization
Mička, Jakub ; Zendulka, Jaroslav (referee) ; Bartík, Vladimír (advisor)
This work is focused on an implementation a web application, which is a tool for automatic English text summarization. In result, automatic text summarization is made by TextRank and Latent semantic analysis method. Both of these methods are improved by named entity recognition. The main benefit of this work is proving that using the named entity recognition with Latent semantic analysis and especially with TextRank method leads to creation of higher quality summaries. This quality of the summaries was verified by ROUGE metrics.
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Processing of User Reviews
Cihlářová, Dita ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
Very often, people buy goods on the Internet that they can not see and try. They therefore rely on reviews of other customers. However, there may be too many reviews for a human to handle them quickly and comfortably. The aim of this work is to offer an application that can recognize in Czech reviews what features of a product are most commented and whether the commentary is positive or negative. The results can save a lot of time for e-shop customers and provide interesting feedback to the manufacturers of the products.
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Rating of IT services through analysis of unstructured data
Kovykov, Maxim ; Vencovský, Filip (advisor) ; Bruckner, Tomáš (referee)
The main topic of this thesis is text mining and rating of services through summarization of unstructured text. The main goal is to describe a method for service rating. The method will be based on previous research. Described method will then be applied to real data. Another goal is to provide description of a toolset, necessary to fulfill set goals. This toolset will then be used to implement described method. The main contribution of this thesis is the implementation and application of the method on real data. The thesis is split into two parts: theory and practical application. Outputs of the practical applicaton are provided as an appendix.
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Indexing of text documents and their parts
Tomeš, Jiří ; Kopecký, Michal (advisor) ; Grošup, Tomáš (referee)
The thesis describes the design and implementation of an application for processing electronic publications (collections of conference papers, comprehensive manuals, or even classical electronic books) in order to enrich their internal navigation by hyperlinks between their related parts, respectively producing as representative as possible summarizations of given length. Unlike similar applications summarizations can be based not only on the sentences, but on elements of other categories like paragraphs, sections and the like.The main emphasis was put on ease of use, platform independence, and multilingual support. The application provides a flexible environment that can be customized to user's needs.
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Summarization of Documents from the Web
Škurla, Ján ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
Topic of this master's thesis is a summarization of the documents on the web. First, it deals with the issues of acquiring text from the web using wrapper. An overview of wrappers used as an inspiration for the future implementation is stated. This paper also includes various methods for creating summary (Luhn`s, Edmundson`s and KPC) from the text data. Application design for the text data extraction and summarization is also part of this paper. Application is based on Java platform and Swing graphic library.
|
|
|
Methods of Document Summarization on the Web
Belica, Michal ; Očenášek, Pavel (referee) ; Bartík, Vladimír (advisor)
The work deals with automatic summarization of documents in HTML format. As a language of web documents, Czech language has been chosen. The project is focused on algorithms of text summarization. The work also includes document preprocessing for summarization and conversion of text into representation suitable for summarization algorithms. General text mining is also briefly discussed but the project is mainly focused on the automatic document summarization. Two simple summarization algorithms are introduced. Then, the main attention is paid to an advanced algorithm that uses latent semantic analysis. Result of the work is a design and implementation of summarization module for Python language. Final part of the work contains evaluation of summaries generated by implemented summarization methods and their subjective comparison of the author.
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