Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic
The research is about emotion recognition and analysis based on Micro-blog short text. Emotion recognition is an important field of text classification in Natural Language Processing. The data of this research comes from Micro-blog 100K record related to COVID-19 theme collected by Data fountain pla...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2022
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| Online Access: | http://journalarticle.ukm.my/21449/ http://journalarticle.ukm.my/21449/1/JKSI_19.pdf |
| _version_ | 1848815354968539136 |
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| author | Jiao, BianBian Leelavathi, R. Lohgheswary, N. Nopiah, Z. M. |
| author_facet | Jiao, BianBian Leelavathi, R. Lohgheswary, N. Nopiah, Z. M. |
| author_sort | Jiao, BianBian |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | The research is about emotion recognition and analysis based on Micro-blog short text. Emotion recognition is an important field of text classification in Natural Language Processing. The data of this research comes from Micro-blog 100K record related to COVID-19 theme collected by Data fountain platform, the data are manually labeled, and the emotional tendencies of the text are negative, positive and neutral. The empirical part adopts dictionary emotion recognition method and machine learning emotion recognition respectively. The algorithms used include support vector machine and naive Bayes based on TFIDF, support vector machine and LSTM based on wod2vec. The five results are compared. Combined with statistical analysis methods, the emotions of netizens in the early stage of the epidemic are analyzed for public opinion. This research uses machine learning algorithm combined with statistical analysis to analyze current events in real time. It will be of great significance for the introduction and implementation of national policies. |
| first_indexed | 2025-11-15T00:48:39Z |
| format | Article |
| id | oai:generic.eprints.org:21449 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:48:39Z |
| publishDate | 2022 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:214492023-04-05T02:58:29Z http://journalarticle.ukm.my/21449/ Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic Jiao, BianBian Leelavathi, R. Lohgheswary, N. Nopiah, Z. M. The research is about emotion recognition and analysis based on Micro-blog short text. Emotion recognition is an important field of text classification in Natural Language Processing. The data of this research comes from Micro-blog 100K record related to COVID-19 theme collected by Data fountain platform, the data are manually labeled, and the emotional tendencies of the text are negative, positive and neutral. The empirical part adopts dictionary emotion recognition method and machine learning emotion recognition respectively. The algorithms used include support vector machine and naive Bayes based on TFIDF, support vector machine and LSTM based on wod2vec. The five results are compared. Combined with statistical analysis methods, the emotions of netizens in the early stage of the epidemic are analyzed for public opinion. This research uses machine learning algorithm combined with statistical analysis to analyze current events in real time. It will be of great significance for the introduction and implementation of national policies. Penerbit Universiti Kebangsaan Malaysia 2022 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/21449/1/JKSI_19.pdf Jiao, BianBian and Leelavathi, R. and Lohgheswary, N. and Nopiah, Z. M. (2022) Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic. Jurnal Kejuruteraan, 34 (SI5(2)). pp. 177-189. ISSN 0128-0198 https://www.ukm.my/jkukm/si-5-2-2022/ |
| spellingShingle | Jiao, BianBian Leelavathi, R. Lohgheswary, N. Nopiah, Z. M. Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic |
| title | Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic |
| title_full | Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic |
| title_fullStr | Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic |
| title_full_unstemmed | Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic |
| title_short | Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic |
| title_sort | emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic |
| url | http://journalarticle.ukm.my/21449/ http://journalarticle.ukm.my/21449/ http://journalarticle.ukm.my/21449/1/JKSI_19.pdf |