Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)
ÇѱÛÁ¦¸ñ(Korean Title) |
±¸¹® ÀÇ¹Ì ÀÌÇØ ±â¹ÝÀÇ VOC ¿ä¾à ¹× ºÐ·ù |
¿µ¹®Á¦¸ñ(English Title) |
VOC Summarization and Classification based on Sentence Understanding |
ÀúÀÚ(Author) |
±è¹®Á¾
ÀÌÀç¾È
ÇѱԿ
¾È¿µ¹Î
Moonjong Kim
Jaean Lee
Kyouyeol Han
Youngmin Ahn
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¿ø¹®¼ö·Ïó(Citation) |
VOL 22 NO. 01 PP. 0050 ~ 0055 (2016. 01) |
Çѱ۳»¿ë (Korean Abstract) |
VOC(Voice of Customer)´Â ±â¾÷ÀÇ Á¦Ç° ¶Ç´Â ¼ºñ½º¿¡ ´ëÇÑ °í°´ÀÇ ÀÇ°ßÀ̳ª ¿ä±¸¸¦ ÆľÇÇÒ ¼ö ÀÖ´Â Áß¿äÇÑ µ¥ÀÌÅÍÀÌ´Ù. ±×·¯³ª VOC µ¥ÀÌÅÍ´Â ´ëÈüÀÇ Æ¯Â¡À¸·Î ÀÎÇØ ³»¿ëÀÇ ºÐÀýÀ̳ª Áߺ¹ÀÌ ´Ù¼ö Á¸ÀçÇÒ »Ó ¾Æ´Ï¶ó ´Ù¾çÇÑ ³»¿ëÀÇ ´ëÈ°¡ Æ÷ÇԵǾî À¯ÇüÀ» ÆľÇÇϴµ¥ ¾î·Á¿òÀÌ ÀÖ´Ù. º» ³í¹®¿¡¼´Â, ¹®¼¿¡¼ Áß¿äÇÑ Àǹ̸¦ °®´Â Å°¿öµå¿Í Ç°»ç, ÇüÅÂ¼Ò µîÀ» ¾ð¾î ÀÚ¿øÀ¸·Î ¼±Á¤ÇÏ¿´°í, À̸¦ ¹ÙÅÁÀ¸·Î ¹®ÀåÀÇ ±¸Á¶ ¹× Àǹ̸¦ ÀÌÇØÇϱâ À§ÇÑ LSP(Lexico-Semantic-Pattern, ¾îÈÖ ÀÇ¹Ì ÆÐÅÏ)¸¦ Á¤ÀÇÇÏ¿© ±¸¹® ÀÇ¹Ì ÀÌÇØ ±â¹ÝÀÇ ÁÖ¿ä ¹®ÀåÀ» ¿ä¾à¹®À¸·Î ÃßÃâÇÏ¿´´Ù. ¿ä¾à¹®À» »ý¼ºÇÔ¿¡ ÀÖ¾î ºÐÀýµÈ ¹®ÀåÀ» ¿¬°áÇÏ°í Áߺ¹µÈ Àǹ̸¦ °®´Â ¹®ÀåÀ» ÁÙÀÌ´Â ¹æ¹ýÀ» Á¦¾ÈÇÏ¿´´Ù. ¶ÇÇÑ Ä«Å×°í¸® º°·Î ¾îÈÖ ÀÇ¹Ì ÆÐÅÏÀ» Á¤ÀÇÇÏ°í ¾îÈÖ ÀÇ¹Ì ÆÐÅÏ¿¡ ¸ÅĪµÈ ÁÖ¿ä ¹®ÀåÀÌ ¼ÓÇÑ Ä«Å×°í¸®¸¦ ±â¹ÝÀ¸·Î ¹®¼¸¦ ºÐ·ùÇÏ¿´´Ù. ½ÇÇè¿¡¼´Â VOC µ¥ÀÌÅ͸¦ ´ë»óÀ¸·Î ¹®¼¸¦ ºÐ·ùÇÏ°í ¿ä¾à¹®À» »ý¼ºÇÏ¿© ±âÁ¸ÀÇ ¹æ¹ýµé°ú ºñ±³ÇÏ¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
To attain an understanding of customers' opinions or demands regarding a companies¡¯ products or service, it is important to consider VOC (Voice of Customer) data; however, it is difficult to understand contexts from VOC because segmented and duplicate sentences and a variety of dialog contexts. In this article, POS (part of speech) and morphemes were selected as language resources due to their semantic importance regarding documents, and based on these, we defined an LSP (Lexico-Semantic-Pattern) to understand the structure and semantics of the sentences and extracted summary by key sentences; furthermore the LSP was introduced to connect the segmented sentences and remove any contextual repetition. We also defined the LSP by categories and classified the documents based on those categories that comprise the main sentences matched by LSP. In the experiment, we classified the VOC-data documents for the creation of a summarization before comparing the result with the previous methodologies.
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Å°¿öµå(Keyword) |
¿ä¾à
¹®¼ ºÐ·ù
±¸¹® ºÐ¼®
±¸¹® ÀÇ¹Ì ÀÌÇØ
VOC
summarization
text classification
sentence analysis
sentence understanding
VOC
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ÆÄÀÏ÷ºÎ |
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