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Current Result Document : 6 / 6 ÀÌÀü°Ç ÀÌÀü°Ç

ÇѱÛÁ¦¸ñ(Korean Title) ¹®Àå Á߿䵵¸¦ ÀÌ¿ëÇÑ ÀÚµ¿ ¹®¼­ ¹üÁÖÈ­
¿µ¹®Á¦¸ñ(English Title) Automatic Text Categorization using the Importance of Sentences
ÀúÀÚ(Author) °í¿µÁß   ¹ÚÁø¿ì   ¼­Á¤¿¬  
¿ø¹®¼ö·Ïó(Citation) VOL 29 NO. 06 PP. 0417 ~ 0424 (2002. 06)
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(Korean Abstract)
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(English Abstract)
Automatic text categorization is a problem of assigning predefined categories to free text documents. In order to classify text documents, we have to extract good features from them. In previous researches, a text document is commonly represented by the frequency of each feature. But there is a difference between important and unimportant sentences in a text document. It has an effect on the importance of features in a text document.
In this paper, we measure the importance of sentences in a text document using text summarizing techniques. A text document is represented by features with different weights according to the importance of each sentence. To verify the new method, we constructed Korean news group data set and experiment our method using it. We found that our new method gave a significant improvement over a basis system for our data sets.
Ű¿öµå(Keyword) ÀÚµ¿ ¹®¼­ ¹üÁÖÈ­   ¹®Àå Á߿䵵   ¹®¼­ ¿ä¾à ±â¹ý   Automatic text categorization   Importance of sentence   Text summarization techniques  
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