This thesis deals with advanced machine-learning methods for text classification. At first, these methods are described, and then text classification system is created based on these methods. The system also provides tools for document preprocessing and evaluation of classifier. The thesis describes the use of the system in a real-life task
Text classification is used to classify the document of similar types . Text classification can be a...
Abstract. The paper presents a meta-learning approach for textual document classification task and a...
With the evolution of Internet, the meaning and accessibility of text documents and electronic infor...
This paper investigates the problem of text classification. The task of text classification is to as...
The master's thesis deals with automatic classifi cation of text document. It explains basic terms a...
The automated categorization (or classification) of texts into predefined categories has witnessed a...
Abstract — With the increasing availability of electronic documents and the rapid growth of the Worl...
Due to rapid increase in volume of data on the Internet every day, it is becoming very difficult to ...
This thesis presents the application of various classification techniques on text documents. Since t...
This thesis deals with a document classification, especially with a text classification method. Main...
Text Mining is the discovery of valuable, yet hidden, information from the text document. Text class...
Objective: Develop an automated classifier for the classification of bibliographic material by means...
Thesis focuses on analysis of contemporary machine learning methods used for text classification bas...
Abstract. The paper describes an application of classification algorithms to the text categorization...
Text mining is drawing enormous attention in this era as there is a huge amount of text data getting...
Text classification is used to classify the document of similar types . Text classification can be a...
Abstract. The paper presents a meta-learning approach for textual document classification task and a...
With the evolution of Internet, the meaning and accessibility of text documents and electronic infor...
This paper investigates the problem of text classification. The task of text classification is to as...
The master's thesis deals with automatic classifi cation of text document. It explains basic terms a...
The automated categorization (or classification) of texts into predefined categories has witnessed a...
Abstract — With the increasing availability of electronic documents and the rapid growth of the Worl...
Due to rapid increase in volume of data on the Internet every day, it is becoming very difficult to ...
This thesis presents the application of various classification techniques on text documents. Since t...
This thesis deals with a document classification, especially with a text classification method. Main...
Text Mining is the discovery of valuable, yet hidden, information from the text document. Text class...
Objective: Develop an automated classifier for the classification of bibliographic material by means...
Thesis focuses on analysis of contemporary machine learning methods used for text classification bas...
Abstract. The paper describes an application of classification algorithms to the text categorization...
Text mining is drawing enormous attention in this era as there is a huge amount of text data getting...
Text classification is used to classify the document of similar types . Text classification can be a...
Abstract. The paper presents a meta-learning approach for textual document classification task and a...
With the evolution of Internet, the meaning and accessibility of text documents and electronic infor...