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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...

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Main Authors: Jiao, BianBian, Leelavathi, R., Lohgheswary, N., Nopiah, Z. M.
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:http://journalarticle.ukm.my/21449/1/JKSI_19.pdf
http://journalarticle.ukm.my/21449/
https://www.ukm.my/jkukm/si-5-2-2022/
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spelling my-ukm.journal.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/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
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.
format Article
author Jiao, BianBian
Leelavathi, R.
Lohgheswary, N.
Nopiah, Z. M.
spellingShingle Jiao, BianBian
Leelavathi, R.
Lohgheswary, N.
Nopiah, Z. M.
Emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic
author_facet Jiao, BianBian
Leelavathi, R.
Lohgheswary, N.
Nopiah, Z. M.
author_sort Jiao, BianBian
title 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_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_sort emotion recognition and analysis of netizens based on micro-blog during covid-19 epidemic
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2022
url http://journalarticle.ukm.my/21449/1/JKSI_19.pdf
http://journalarticle.ukm.my/21449/
https://www.ukm.my/jkukm/si-5-2-2022/
_version_ 1762393393965563904
score 13.211869

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