Publication: Opinion classification on a social network by a novel feature selection technique
| dc.contributor.author | Choompol, Atchara | |
| dc.contributor.author | Songram, Panida | |
| dc.contributor.author | Chomphuwiset, Phattahanaphong | |
| dc.date.accessioned | 2023-12-16T10:57:10Z | |
| dc.date.available | 2023-12-16T10:57:10Z | |
| dc.date.issued | 2020 | |
| dc.date.issuedBE | 2563 | |
| dc.description.abstract | Most of the opinion comments on social networks are short and ambiguous. In general; opinion classification on the comments is difficult because of lacking dominant features. A feature extraction technique is therefore necessary for improving accuracy of the classification and computational time. This paper proposes an effective feature selection method for opinion classification on a social network. The proposed method selects features based on the concept of a filter model; together with association rules. Support and confidence are used to calculate the weights of features. The features with high weight are selected for classification. Unlike supports in association rules; supports in our method are normalized to 0-1 to remove outlier supports. Moreover; a tuning parameter is used to emphasize the degree of support or confidence. The experimental results show that the proposed method provides high classification efficiency. The proposed method outperforms Information Gain; Chi-Square; and Gini Index in both computational time and accuracy. | |
| dc.identifier.doi | 10.11591/ijeecs.v20.i2.pp960-967 | |
| dc.identifier.issn | 2502-4760 | |
| dc.identifier.uri | https://harrt.in.th/handle/123456789/8539 | |
| dc.language.iso | en | |
| dc.rights | Copyright (c) 2020 Institute of Advanced Engineering and Science | |
| dc.subject | การจำแนกประเภทความคิดเห็น | |
| dc.subject | การทำเหมืองข้อมูล | |
| dc.subject | เครือข่ายสังคม | |
| dc.subject | Association Rule | |
| dc.subject | Feature Selection | |
| dc.subject | Opinion Classification | |
| dc.subject | Opinion Mining | |
| dc.subject | Social Network | |
| dc.subject.isced | 0322 บรรณารักษ์, สารสนเทศ และการศึกษาจดหมายเหตุ | |
| dc.subject.oecd | 5.8 นิเทศศาสตร์และสื่อสารมวลชน | |
| dc.title | Opinion classification on a social network by a novel feature selection technique | |
| dc.type | บทความวารสาร (Journal Article) | |
| dspace.entity.type | Publication | |
| harrt.researchArea | สารสนเทศศาสตร์ | |
| harrt.researchGroup | บรรณารักษศาสตร์และสารสนเทศศาสตร์ | |
| harrt.researchTheme.1 | Data Science | |
| harrt.researchTheme.2 | Data Mining | |
| mods.location.url | https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21318 | |
| oaire.citation.endPage | 967 | |
| oaire.citation.issue | 2 | |
| oaire.citation.startPage | 960 | |
| oaire.citation.title | Indonesian Journal of Electrical Engineering and Computer Science | |
| oaire.citation.volume | 20 | |
| oairecerif.author.affiliation | มหาวิทยาลัยมหาสารคาม. คณะวิทยาการสารสนเทศ. ภาควิชาวิทยาการคอมพิวเตอร์ |