Validation of Text Data Preprocessing Using a Neural Network Model
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Woo, HoSung | - |
dc.contributor.author | Kim, JaMee | - |
dc.contributor.author | Lee, WonGyu | - |
dc.date.accessioned | 2021-08-31T00:02:05Z | - |
dc.date.available | 2021-08-31T00:02:05Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2020-05-14 | - |
dc.identifier.issn | 1024-123X | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/55704 | - |
dc.description.abstract | Many artificial intelligence studies focus on designing new neural network models or optimizing hyperparameters to improve model accuracy. To develop a reliable model, appropriate data are required, and data preprocessing is an essential part of acquiring the data. Although various studies regard data preprocessing as part of the data exploration process, those studies lack awareness about the need for separate technologies and solutions for preprocessing. Therefore, this study evaluated combinations of preprocessing types in a text-processing neural network model. Better performance was observed when two preprocessing types were used than when three or more preprocessing types were used for data purification. More specifically, using lemmatization and punctuation splitting together, lemmatization and lowering together, and lowering and punctuation splitting together showed positive effects on accuracy. This study is significant because the results allow better decisions to be made about the selection of the preprocessing types in various research fields, including neural network research. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | HINDAWI LTD | - |
dc.subject | SELECTION | - |
dc.subject | IMPACT | - |
dc.title | Validation of Text Data Preprocessing Using a Neural Network Model | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, JaMee | - |
dc.contributor.affiliatedAuthor | Lee, WonGyu | - |
dc.identifier.doi | 10.1155/2020/1958149 | - |
dc.identifier.scopusid | 2-s2.0-85085580252 | - |
dc.identifier.wosid | 000537275900004 | - |
dc.identifier.bibliographicCitation | MATHEMATICAL PROBLEMS IN ENGINEERING, v.2020 | - |
dc.relation.isPartOf | MATHEMATICAL PROBLEMS IN ENGINEERING | - |
dc.citation.title | MATHEMATICAL PROBLEMS IN ENGINEERING | - |
dc.citation.volume | 2020 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Interdisciplinary Applications | - |
dc.subject.keywordPlus | SELECTION | - |
dc.subject.keywordPlus | IMPACT | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.