학술논문
SNS 댓글 처리와 K-Means 클러스터링을 이용한 댓글 분류
SNS Comments Filtering and Classification Using K-Means Clustering
SNS Comments Filtering and Classification Using K-Means Clustering
Document Type
Article
Text
Text
Author
Source
과학영재교육, 12/31/2017, Vol. 9, Issue 3, p. 289-296
Subject
Language
한국어(KOR)
ISSN
2005-9698
Abstract
Recently, according to the rapid change of the supply rate of smartphones, comments on the webblogs are increased. It is difficult to manually search the needful comments among enormous comments. To solve the problem, we present an automatic classification system on the comments. Since it needs the definition of the topics to classify, we apply the learning method with clustering to the definition. This research enables the study on comments filtering, automatic learning, and comments classification techniques.