Publications
Detailed Information
Graph Based Aspect Extraction and Rating Classification of Customer Review Data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeon, Sung Whan | - |
dc.contributor.author | Lee, Hye Jin | - |
dc.contributor.author | Lee, Hyeonguk | - |
dc.contributor.author | Cho, Sungzoon | - |
dc.date.accessioned | 2022-10-26T07:44:18Z | - |
dc.date.available | 2022-10-26T07:44:18Z | - |
dc.date.created | 2022-10-18 | - |
dc.date.issued | 2019-04 | - |
dc.identifier.citation | DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, Vol.11448 LNCS, pp.186-199 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://hdl.handle.net/10371/187010 | - |
dc.description.abstract | This paper introduces graph-based aspect and rating classification, which utilizes multi-modal word co-occurrence network to solve aspect and sentiment classification tasks. Our model consists of three components: (1) word co-occurrence network construction, with aspect and sentiment labels as different modes; (2) dispersion computation for aspects and sentiments, and; (3) feedforward network for classification. Our experiment shows that proposed model outperforms baseline models, Word2Vec and LDA, in both aspect and sentiment classification tasks. Our classification model uses comparatively smaller vector size for representing words and sentences. The proposed model performs better in classifying out of vocabulary contexts. | - |
dc.language | 영어 | - |
dc.publisher | SPRINGER INTERNATIONAL PUBLISHING AG | - |
dc.title | Graph Based Aspect Extraction and Rating Classification of Customer Review Data | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/978-3-030-18590-9_13 | - |
dc.citation.journaltitle | DATABASE SYSTEMS FOR ADVANCED APPLICATIONS | - |
dc.identifier.wosid | 000485178800013 | - |
dc.identifier.scopusid | 2-s2.0-85065410078 | - |
dc.citation.endpage | 199 | - |
dc.citation.startpage | 186 | - |
dc.citation.volume | 11448 LNCS | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Cho, Sungzoon | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
- Appears in Collections:
- Files in This Item:
- There are no files associated with this item.
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.