@article{ART002398239},
author={Young-Wook Kim and Kim Ki Hyun and LEE, Hong Chul},
title={Dynamic Text Categorizing Method using Text Mining and Association Rule},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2018},
volume={23},
number={10},
pages={103-109},
doi={10.9708/jksci.2018.23.10.103}
TY - JOUR
AU - Young-Wook Kim
AU - Kim Ki Hyun
AU - LEE, Hong Chul
TI - Dynamic Text Categorizing Method using Text Mining and Association Rule
JO - Journal of The Korea Society of Computer and Information
PY - 2018
VL - 23
IS - 10
PB - The Korean Society Of Computer And Information
SP - 103
EP - 109
SN - 1598-849X
AB - In this paper, we propose a dynamic document classification method which breaks away from existing document classification method with artificial categorization rules focusing on suppliers and has changing categorization rules according to users’ needs or social trends. The core of this dynamic document classification method lies in the fact that it creates classification criteria real-time by using topic modeling techniques without standardized category rules, which does not force users to use unnecessary frames. In addition, it can also search the details through the relevance analysis by calculating the relationship between the words that is difficult to grasp by word frequency alone.
Rather than for logical and systematic documents, this method proposed can be used more effectively for situation analysis and retrieving information of unstructured data which do not fit the category of existing classification such as VOC (Voice Of Customer), SNS and customer reviews of Internet shopping malls and it can react to users’ needs flexibly. In addition, it has no process of selecting the classification rules by the suppliers and in case there is a misclassification, it requires no manual work, which reduces unnecessary workload.
KW - Document Categorizing;Topic Modeling;Association Rule;Hierarchical Clustering
DO - 10.9708/jksci.2018.23.10.103
ER -
Young-Wook Kim, Kim Ki Hyun and LEE, Hong Chul. (2018). Dynamic Text Categorizing Method using Text Mining and Association Rule. Journal of The Korea Society of Computer and Information, 23(10), 103-109.
Young-Wook Kim, Kim Ki Hyun and LEE, Hong Chul. 2018, "Dynamic Text Categorizing Method using Text Mining and Association Rule", Journal of The Korea Society of Computer and Information, vol.23, no.10 pp.103-109. Available from: doi:10.9708/jksci.2018.23.10.103
Young-Wook Kim, Kim Ki Hyun, LEE, Hong Chul "Dynamic Text Categorizing Method using Text Mining and Association Rule" Journal of The Korea Society of Computer and Information 23.10 pp.103-109 (2018) : 103.
Young-Wook Kim, Kim Ki Hyun, LEE, Hong Chul. Dynamic Text Categorizing Method using Text Mining and Association Rule. 2018; 23(10), 103-109. Available from: doi:10.9708/jksci.2018.23.10.103
Young-Wook Kim, Kim Ki Hyun and LEE, Hong Chul. "Dynamic Text Categorizing Method using Text Mining and Association Rule" Journal of The Korea Society of Computer and Information 23, no.10 (2018) : 103-109.doi: 10.9708/jksci.2018.23.10.103
Young-Wook Kim; Kim Ki Hyun; LEE, Hong Chul. Dynamic Text Categorizing Method using Text Mining and Association Rule. Journal of The Korea Society of Computer and Information, 23(10), 103-109. doi: 10.9708/jksci.2018.23.10.103
Young-Wook Kim; Kim Ki Hyun; LEE, Hong Chul. Dynamic Text Categorizing Method using Text Mining and Association Rule. Journal of The Korea Society of Computer and Information. 2018; 23(10) 103-109. doi: 10.9708/jksci.2018.23.10.103
Young-Wook Kim, Kim Ki Hyun, LEE, Hong Chul. Dynamic Text Categorizing Method using Text Mining and Association Rule. 2018; 23(10), 103-109. Available from: doi:10.9708/jksci.2018.23.10.103
Young-Wook Kim, Kim Ki Hyun and LEE, Hong Chul. "Dynamic Text Categorizing Method using Text Mining and Association Rule" Journal of The Korea Society of Computer and Information 23, no.10 (2018) : 103-109.doi: 10.9708/jksci.2018.23.10.103
