@article{ART002439587},
author={Kyun Sun Eo and Kun-Chang Lee},
title={Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2019},
volume={24},
number={2},
pages={171-177},
doi={10.9708/jksci.2019.24.02.171}
TY - JOUR
AU - Kyun Sun Eo
AU - Kun-Chang Lee
TI - Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks
JO - Journal of The Korea Society of Computer and Information
PY - 2019
VL - 24
IS - 2
PB - The Korean Society Of Computer And Information
SP - 171
EP - 177
SN - 1598-849X
AB - This paper aims to find the most effective feature selection method for the sake of opinion mining tasks. Basically, opinion mining tasks belong to sentiment analysis, which is to categorize opinions of the online texts into positive and negative from a text mining point of view. By using the five product groups dataset such as apparel, books, DVDs, electronics, and kitchen, TF-IDF and Bag-of-Words(BOW) fare calculated to form the product review feature sets. Next, we applied the feature selection methods to see which method reveals most robust results. The results show that the stacking classifier based on those features out of applying Information Gain feature selection method yields best result.
KW - Opinion mining;Sentiment analysis;Feature selection
DO - 10.9708/jksci.2019.24.02.171
ER -
Kyun Sun Eo and Kun-Chang Lee. (2019). Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks. Journal of The Korea Society of Computer and Information, 24(2), 171-177.
Kyun Sun Eo and Kun-Chang Lee. 2019, "Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks", Journal of The Korea Society of Computer and Information, vol.24, no.2 pp.171-177. Available from: doi:10.9708/jksci.2019.24.02.171
Kyun Sun Eo, Kun-Chang Lee "Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks" Journal of The Korea Society of Computer and Information 24.2 pp.171-177 (2019) : 171.
Kyun Sun Eo, Kun-Chang Lee. Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks. 2019; 24(2), 171-177. Available from: doi:10.9708/jksci.2019.24.02.171
Kyun Sun Eo and Kun-Chang Lee. "Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks" Journal of The Korea Society of Computer and Information 24, no.2 (2019) : 171-177.doi: 10.9708/jksci.2019.24.02.171
Kyun Sun Eo; Kun-Chang Lee. Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks. Journal of The Korea Society of Computer and Information, 24(2), 171-177. doi: 10.9708/jksci.2019.24.02.171
Kyun Sun Eo; Kun-Chang Lee. Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks. Journal of The Korea Society of Computer and Information. 2019; 24(2) 171-177. doi: 10.9708/jksci.2019.24.02.171
Kyun Sun Eo, Kun-Chang Lee. Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks. 2019; 24(2), 171-177. Available from: doi:10.9708/jksci.2019.24.02.171
Kyun Sun Eo and Kun-Chang Lee. "Exploring an Optimal Feature Selection Method for Effective Opinion Mining Tasks" Journal of The Korea Society of Computer and Information 24, no.2 (2019) : 171-177.doi: 10.9708/jksci.2019.24.02.171