@article{ART002370884},
author={JinGyu Park and HwaYeon Kim and Hyoung-Geun Kim and Tae-Ki Ahn and Hyunbean Yi},
title={Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2018},
volume={23},
number={7},
pages={19-26},
doi={10.9708/jksci.2018.23.07.019}
TY - JOUR
AU - JinGyu Park
AU - HwaYeon Kim
AU - Hyoung-Geun Kim
AU - Tae-Ki Ahn
AU - Hyunbean Yi
TI - Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques
JO - Journal of The Korea Society of Computer and Information
PY - 2018
VL - 23
IS - 7
PB - The Korean Society Of Computer And Information
SP - 19
EP - 26
SN - 1598-849X
AB - This paper presents a structuring process of unstructured social network service (SNS) messages on rail services. We crawl messages about rail services posted on SNS and extract keywords indicating date and time, rail operating company, station name, direction, and rail service types from each message. Among them, the rail service types are classified by machine learning according to predefined rail service types, and the rest are extracted by regular expressions. Words are converted into vector representations using Word2Vec and a conventional Convolutional Neural Network (CNN) is used for training and classification. For performance measurement, our experimental results show a comparison with a TF-IDF and Support Vector Machine (SVM) approach. This structured information in the database and can be easily used for services for railway users.
KW - Data Structuring;Deep neural network;Information of Rail services;Social network service;Text mining
DO - 10.9708/jksci.2018.23.07.019
ER -
JinGyu Park, HwaYeon Kim, Hyoung-Geun Kim, Tae-Ki Ahn and Hyunbean Yi. (2018). Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques. Journal of The Korea Society of Computer and Information, 23(7), 19-26.
JinGyu Park, HwaYeon Kim, Hyoung-Geun Kim, Tae-Ki Ahn and Hyunbean Yi. 2018, "Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques", Journal of The Korea Society of Computer and Information, vol.23, no.7 pp.19-26. Available from: doi:10.9708/jksci.2018.23.07.019
JinGyu Park, HwaYeon Kim, Hyoung-Geun Kim, Tae-Ki Ahn, Hyunbean Yi "Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques" Journal of The Korea Society of Computer and Information 23.7 pp.19-26 (2018) : 19.
JinGyu Park, HwaYeon Kim, Hyoung-Geun Kim, Tae-Ki Ahn, Hyunbean Yi. Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques. 2018; 23(7), 19-26. Available from: doi:10.9708/jksci.2018.23.07.019
JinGyu Park, HwaYeon Kim, Hyoung-Geun Kim, Tae-Ki Ahn and Hyunbean Yi. "Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques" Journal of The Korea Society of Computer and Information 23, no.7 (2018) : 19-26.doi: 10.9708/jksci.2018.23.07.019
JinGyu Park; HwaYeon Kim; Hyoung-Geun Kim; Tae-Ki Ahn; Hyunbean Yi. Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques. Journal of The Korea Society of Computer and Information, 23(7), 19-26. doi: 10.9708/jksci.2018.23.07.019
JinGyu Park; HwaYeon Kim; Hyoung-Geun Kim; Tae-Ki Ahn; Hyunbean Yi. Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques. Journal of The Korea Society of Computer and Information. 2018; 23(7) 19-26. doi: 10.9708/jksci.2018.23.07.019
JinGyu Park, HwaYeon Kim, Hyoung-Geun Kim, Tae-Ki Ahn, Hyunbean Yi. Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques. 2018; 23(7), 19-26. Available from: doi:10.9708/jksci.2018.23.07.019
JinGyu Park, HwaYeon Kim, Hyoung-Geun Kim, Tae-Ki Ahn and Hyunbean Yi. "Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques" Journal of The Korea Society of Computer and Information 23, no.7 (2018) : 19-26.doi: 10.9708/jksci.2018.23.07.019
