Sentiment analysis and counselling for COVID-19 pandemic based on social media
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Ha-Young | - |
dc.contributor.author | Jeong, Ok-Ran | - |
dc.date.accessioned | 2023-03-27T06:40:31Z | - |
dc.date.available | 2023-03-27T06:40:31Z | - |
dc.date.created | 2023-03-27 | - |
dc.date.issued | 2023-03 | - |
dc.identifier.issn | 1741-1106 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/87278 | - |
dc.description.abstract | As COVID-19 emerged and prolonged, various changes have occurred in our lives. For example, as restrictions on daily life are lengthening, the number of people complaining of depression is increasing. In this paper, we conduct a sentiment analysis by modelling public emotions and issues through social media. Text data written on Twitter is collected by dividing it into the early and late stages of COVID-19, and emotional analysis is performed to reclassify it into positive and negative tweets. Therefore, subject modelling is performed with a total of four datasets to review the results and evaluate the modelling results. Furthermore, topic modelling results are visualised using dimensional reduction, and public opinions on COVID-19 are intuitively confirmed by generating representative words consisting of each topic in the word cloud. Additionally, we implement a COVID-chatbot that provides a question-and-answer service on COVID-19 and verifies the performance in our experiments. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | INDERSCIENCE ENTERPRISES LTD | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES | - |
dc.title | Sentiment analysis and counselling for COVID-19 pandemic based on social media | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000944198400002 | - |
dc.identifier.doi | 10.1504/ijwgs.2023.129327 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES, v.19, no.1, pp.34 - 57 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85153880844 | - |
dc.citation.endPage | 57 | - |
dc.citation.startPage | 34 | - |
dc.citation.title | INTERNATIONAL JOURNAL OF WEB AND GRID SERVICES | - |
dc.citation.volume | 19 | - |
dc.citation.number | 1 | - |
dc.contributor.affiliatedAuthor | Lee, Ha-Young | - |
dc.contributor.affiliatedAuthor | Jeong, Ok-Ran | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | social media analysis | - |
dc.subject.keywordAuthor | sentiment analysis | - |
dc.subject.keywordAuthor | topic modelling | - |
dc.subject.keywordAuthor | COVID-chatbot | - |
dc.subject.keywordAuthor | Google BERT | - |
dc.subject.keywordAuthor | Microsoft DialoGPT | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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