LATENT DIRICHLET ALLOCATION (LDA) METHOD ANALYSIS ABOUT COVID-19 VACCINE ON TWITTER SOCIAL MEDIA
Twitter is one social media that often provides much information for its users, one of which is information regarding the COVID-19 vaccination. This study aimed to explore and find out what topics are often discussed on Twitter social media. One of which is the topic of COVID-19 vaccination using th...
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| Format: | Article |
| Language: | English |
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Universitas Pattimura
2022-03-01
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| Series: | Barekeng |
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4887 |
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| author | Happy Alyzhya Haay Adi Setiawan |
| author_facet | Happy Alyzhya Haay Adi Setiawan |
| author_sort | Happy Alyzhya Haay |
| collection | DOAJ |
| description | Twitter is one social media that often provides much information for its users, one of which is information regarding the COVID-19 vaccination. This study aimed to explore and find out what topics are often discussed on Twitter social media. One of which is the topic of COVID-19 vaccination using the Latent Dirichlet Allocation (LDA) method and analysis of the frequency of keywords that often appear with this topic. The Tweet data used in this study was taken from Twitter users worldwide in November 2021. In this study, the results of sentiment analysis were obtained from the tweet data taken, which was divided into positive sentiment and negative sentiment, namely "vaccination" with 40 words and "'Covid19" with 35 words |
| format | Article |
| id | doaj-art-1b68c49eb86b40938da23cf1c65ecdcf |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2022-03-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-1b68c49eb86b40938da23cf1c65ecdcf2025-08-20T03:36:12ZengUniversitas PattimuraBarekeng1978-72272615-30172022-03-0116118919810.30598/barekengvol16iss1pp189-1964887LATENT DIRICHLET ALLOCATION (LDA) METHOD ANALYSIS ABOUT COVID-19 VACCINE ON TWITTER SOCIAL MEDIAHappy Alyzhya Haay0Adi Setiawan1Department of Mathematics and Data Science, Faculty of Science and Mathematics, Universitas Kristen Satya WacanaDepartment of Mathematics and Data Science, Faculty of Science and Mathematics, Universitas Kristen Satya WacanaTwitter is one social media that often provides much information for its users, one of which is information regarding the COVID-19 vaccination. This study aimed to explore and find out what topics are often discussed on Twitter social media. One of which is the topic of COVID-19 vaccination using the Latent Dirichlet Allocation (LDA) method and analysis of the frequency of keywords that often appear with this topic. The Tweet data used in this study was taken from Twitter users worldwide in November 2021. In this study, the results of sentiment analysis were obtained from the tweet data taken, which was divided into positive sentiment and negative sentiment, namely "vaccination" with 40 words and "'Covid19" with 35 wordshttps://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4887covid-19latent dirichlet allocation (lda)twitter |
| spellingShingle | Happy Alyzhya Haay Adi Setiawan LATENT DIRICHLET ALLOCATION (LDA) METHOD ANALYSIS ABOUT COVID-19 VACCINE ON TWITTER SOCIAL MEDIA Barekeng covid-19 latent dirichlet allocation (lda) |
| title | LATENT DIRICHLET ALLOCATION (LDA) METHOD ANALYSIS ABOUT COVID-19 VACCINE ON TWITTER SOCIAL MEDIA |
| title_full | LATENT DIRICHLET ALLOCATION (LDA) METHOD ANALYSIS ABOUT COVID-19 VACCINE ON TWITTER SOCIAL MEDIA |
| title_fullStr | LATENT DIRICHLET ALLOCATION (LDA) METHOD ANALYSIS ABOUT COVID-19 VACCINE ON TWITTER SOCIAL MEDIA |
| title_full_unstemmed | LATENT DIRICHLET ALLOCATION (LDA) METHOD ANALYSIS ABOUT COVID-19 VACCINE ON TWITTER SOCIAL MEDIA |
| title_short | LATENT DIRICHLET ALLOCATION (LDA) METHOD ANALYSIS ABOUT COVID-19 VACCINE ON TWITTER SOCIAL MEDIA |
| title_sort | latent dirichlet allocation lda method analysis about covid 19 vaccine on twitter social media |
| topic | covid-19 latent dirichlet allocation (lda) |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/4887 |
| work_keys_str_mv | AT happyalyzhyahaay latentdirichletallocationldamethodanalysisaboutcovid19vaccineontwittersocialmedia AT adisetiawan latentdirichletallocationldamethodanalysisaboutcovid19vaccineontwittersocialmedia |