@article{ART002469697},
author={Yunsoo Choi and Sung-Pil Choi},
title={A Study on Patent Literature Classification Using Distributed Representation of Technical Terms},
journal={Journal of the Korean Society for Library and Information Science},
issn={1225-598X},
year={2019},
volume={53},
number={2},
pages={179-199},
doi={10.4275/KSLIS.2019.53.2.179}
TY - JOUR
AU - Yunsoo Choi
AU - Sung-Pil Choi
TI - A Study on Patent Literature Classification Using Distributed Representation of Technical Terms
JO - Journal of the Korean Society for Library and Information Science
PY - 2019
VL - 53
IS - 2
PB - 한국문헌정보학회
SP - 179
EP - 199
SN - 1225-598X
AB - In this paper, we propose optimal methodologies for classifying patent literature by examining various feature extraction methods, machine learning and deep learning models, and provide optimal performance through experiments. We compared the traditional BoW method and a distributed representation method (word embedding vector) as a feature extraction, and compared the morphological analysis and multi gram as the method of constructing the document collection. In addition, classification performance was verified using traditional machine learning model and deep learning model. Experimental results show that the best performance is achieved when we apply the deep learning model with distributed representation and morphological analysis based feature extraction. In Section, Class and Subclass classification experiments, We improved the performance by 5.71%, 18.84% and 21.53%, respectively, compared with traditional classification methods.
KW - Patent Literature Classification;Distributed Representation;Word Embedding Vector;Deep Learning
DO - 10.4275/KSLIS.2019.53.2.179
ER -
Yunsoo Choi and Sung-Pil Choi. (2019). A Study on Patent Literature Classification Using Distributed Representation of Technical Terms. Journal of the Korean Society for Library and Information Science, 53(2), 179-199.
Yunsoo Choi and Sung-Pil Choi. 2019, "A Study on Patent Literature Classification Using Distributed Representation of Technical Terms", Journal of the Korean Society for Library and Information Science, vol.53, no.2 pp.179-199. Available from: doi:10.4275/KSLIS.2019.53.2.179
Yunsoo Choi, Sung-Pil Choi "A Study on Patent Literature Classification Using Distributed Representation of Technical Terms" Journal of the Korean Society for Library and Information Science 53.2 pp.179-199 (2019) : 179.
Yunsoo Choi, Sung-Pil Choi. A Study on Patent Literature Classification Using Distributed Representation of Technical Terms. 2019; 53(2), 179-199. Available from: doi:10.4275/KSLIS.2019.53.2.179
Yunsoo Choi and Sung-Pil Choi. "A Study on Patent Literature Classification Using Distributed Representation of Technical Terms" Journal of the Korean Society for Library and Information Science 53, no.2 (2019) : 179-199.doi: 10.4275/KSLIS.2019.53.2.179
Yunsoo Choi; Sung-Pil Choi. A Study on Patent Literature Classification Using Distributed Representation of Technical Terms. Journal of the Korean Society for Library and Information Science, 53(2), 179-199. doi: 10.4275/KSLIS.2019.53.2.179
Yunsoo Choi; Sung-Pil Choi. A Study on Patent Literature Classification Using Distributed Representation of Technical Terms. Journal of the Korean Society for Library and Information Science. 2019; 53(2) 179-199. doi: 10.4275/KSLIS.2019.53.2.179
Yunsoo Choi, Sung-Pil Choi. A Study on Patent Literature Classification Using Distributed Representation of Technical Terms. 2019; 53(2), 179-199. Available from: doi:10.4275/KSLIS.2019.53.2.179
Yunsoo Choi and Sung-Pil Choi. "A Study on Patent Literature Classification Using Distributed Representation of Technical Terms" Journal of the Korean Society for Library and Information Science 53, no.2 (2019) : 179-199.doi: 10.4275/KSLIS.2019.53.2.179
