An event-based hidden makrov model approach to news classification and sequencing
Title:
An event-based hidden makrov model approach to news classification and sequencing
Author:
Çavuş, Engin, author.
Personal Author:
Physical Description:
vii, 32 leaves:+ 1 computer laser optical disc.
Abstract:
Over the past years the number of published news articles have an excessive increase. In the past, there was less channel of communication. Moreover the articles were classified by the human operators. In the course of time the means of the communication increased and expanded rapidly. The need for an automated news classification tool is inevitable. The text classification is a statistical machine learning procedure that individual text items are placed into groups based on quantitative information. In this study, an event based news classification and sequencing system is proposed, the model is explained. The decision making process is represented. A case study is prepared and analyzed.
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Thesis (Master)--İzmir Institute of Technology: Computer Engineering.
İzmir Institute of Technology: Computer Engineering--Thesis (Master).
Electronic Access:
Access to Electronic Versiyon.