@article{ART002665293},
author={Yang Woo Yu and Hyeon Gyu Kim},
title={Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={12},
pages={145-153},
doi={10.9708/jksci.2020.25.12.145}
TY - JOUR
AU - Yang Woo Yu
AU - Hyeon Gyu Kim
TI - Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 12
PB - The Korean Society Of Computer And Information
SP - 145
EP - 153
SN - 1598-849X
AB - Recently, keyword extraction from social big data has been widely used for the purpose of extracting opinions or complaints from the user’s perspective. Regarding this, our previous work suggested a method to improve accuracy of keyword extraction based on the notion of cohesion scoring, but its accuracy can be degraded when the number of input reviews is relatively small. This paper presents a method to resolve this issue by applying simplified morphological analysis as a postprocessing step to extracted keywords generated from the algorithm discussed in the previous work. The proposed method enables to add analysis rules necessary to process input data incrementally whenever new data arrives, which leads to reduction of a dictionary size and improvement of analysis efficiency. In addition, an interactive rule adder is provided to minimize efforts to add new rules. To verify performance of the proposed method, experiments were conducted based on real social reviews collected from online, where the results showed that error ratio was reduced from 10% to 1% by applying our method and it took 450 milliseconds to process 5,000 reviews, which means that keyword extraction can be performed in a timely manner in the proposed method.
KW - Big data;Social reviews;Keyword extraction;Cohesion score;Interactive morphological analysis
DO - 10.9708/jksci.2020.25.12.145
ER -
Yang Woo Yu and Hyeon Gyu Kim. (2020). Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring. Journal of The Korea Society of Computer and Information, 25(12), 145-153.
Yang Woo Yu and Hyeon Gyu Kim. 2020, "Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring", Journal of The Korea Society of Computer and Information, vol.25, no.12 pp.145-153. Available from: doi:10.9708/jksci.2020.25.12.145
Yang Woo Yu, Hyeon Gyu Kim "Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring" Journal of The Korea Society of Computer and Information 25.12 pp.145-153 (2020) : 145.
Yang Woo Yu, Hyeon Gyu Kim. Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring. 2020; 25(12), 145-153. Available from: doi:10.9708/jksci.2020.25.12.145
Yang Woo Yu and Hyeon Gyu Kim. "Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring" Journal of The Korea Society of Computer and Information 25, no.12 (2020) : 145-153.doi: 10.9708/jksci.2020.25.12.145
Yang Woo Yu; Hyeon Gyu Kim. Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring. Journal of The Korea Society of Computer and Information, 25(12), 145-153. doi: 10.9708/jksci.2020.25.12.145
Yang Woo Yu; Hyeon Gyu Kim. Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring. Journal of The Korea Society of Computer and Information. 2020; 25(12) 145-153. doi: 10.9708/jksci.2020.25.12.145
Yang Woo Yu, Hyeon Gyu Kim. Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring. 2020; 25(12), 145-153. Available from: doi:10.9708/jksci.2020.25.12.145
Yang Woo Yu and Hyeon Gyu Kim. "Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring" Journal of The Korea Society of Computer and Information 25, no.12 (2020) : 145-153.doi: 10.9708/jksci.2020.25.12.145
