ÇѱÛÁ¦¸ñ(Korean Title) |
ÁÖ¿ä ¹®´Ü ¿µ¿ª ¼±Á¤ ±â¹Ý ¹®¼ ºÐ¼® ½Ã½ºÅÛ |
¿µ¹®Á¦¸ñ(English Title) |
Main Paragraph Section Selectionst based Document Analysis System |
ÀúÀÚ(Author) |
¹ÚÀçÈñ
ÀÌÁ¾¿ø
Á¤´ëÁø
Á¤È¸°æ
Jaehee Park
Jongwon Lee
Daejin Jeong
Hoekyung Jung
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¿ø¹®¼ö·Ïó(Citation) |
VOL 2018 NO. 01 PP. 0165 ~ 0167 (2018. 08) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
A document analysis system based on morpheme analyzer is under study to analyze documents. However, morphological analyzer based document analysis systems are inadequate to inform users of major paragraphs of documents due to structural limitations. To solve this problem, the proposed system derives the paragraphs containing the keywords entered by the user and divides the paragraphs into 10 sections. And we calculate the importance of each section by calculating the frequency of the keyword input by the user in the divided sections. This allows the user to be provided with an area from the system where the main paragraphs of the document are located. Also, it can be understood that the contents can be understood mainly by the keyword inputted by the user. |
Å°¿öµå(Keyword) |
Document Analysis
Keyword Weight
Paragraph Centrality
Search
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