To understand text, we must relate it with specified situations. This paper, on the basis of such an idea, discusses how the things that a text describes and the situation that the text relates to are expressed in a computer and how the topic of a text is extracted. The topic of a piece of writing is the central idea of it. People not only care for what it expresses, but also care for the most important idea of it. Therefore, if each piece of writing has a marked topic, then retrieval rate and retrieval precision of writings can be increased to a great extent. In computers, a piece o
The paper presents a preliminary investigation of potential methods for extracting semantic views of...
We address the issue of providing topic driven access to full text documents. The methodology we pr...
Abstracts of research papers are meant to provide a brief condensed overview of respective research ...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
Abstract. Language makes human communication possible. Apart from everyday applications, language ca...
Text contents are overloaded with the digitization of the data and new contents are transmitted thro...
In the context of unified messaging, a textual message may have to be reduced in length for display ...
The article addresses the problem of document classification. A technology for automatic topic extra...
The extraction of relevant terms from texts is an extensively researched task in Text- Mining. Rele...
In this chapter we define information extraction from text, describe common information extraction t...
The article addresses the problem of document clusterization. The author describes a technology for ...
Research in information retrieval has traditionally concentrated on making assumptions about the con...
We provide a brief, non-technical introduction to the text mining methodology known as topic modelin...
Recently, several latent topic analysis methods such as LSI, pLSI, and LDA have been widely used for...
Identifying the topic of an article can involve a lot of manual work. The manual processes can be ex...
The paper presents a preliminary investigation of potential methods for extracting semantic views of...
We address the issue of providing topic driven access to full text documents. The methodology we pr...
Abstracts of research papers are meant to provide a brief condensed overview of respective research ...
I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, includ...
Abstract. Language makes human communication possible. Apart from everyday applications, language ca...
Text contents are overloaded with the digitization of the data and new contents are transmitted thro...
In the context of unified messaging, a textual message may have to be reduced in length for display ...
The article addresses the problem of document classification. A technology for automatic topic extra...
The extraction of relevant terms from texts is an extensively researched task in Text- Mining. Rele...
In this chapter we define information extraction from text, describe common information extraction t...
The article addresses the problem of document clusterization. The author describes a technology for ...
Research in information retrieval has traditionally concentrated on making assumptions about the con...
We provide a brief, non-technical introduction to the text mining methodology known as topic modelin...
Recently, several latent topic analysis methods such as LSI, pLSI, and LDA have been widely used for...
Identifying the topic of an article can involve a lot of manual work. The manual processes can be ex...
The paper presents a preliminary investigation of potential methods for extracting semantic views of...
We address the issue of providing topic driven access to full text documents. The methodology we pr...
Abstracts of research papers are meant to provide a brief condensed overview of respective research ...