Sentiment Analysis for opinion leaders on Twitter: A Case Study of COVID-19
The coronavirus or COVID-19 is an ongoing global problem where a pandemic was implemented early in 2020 during the outbreak. Social media platforms were used during the pandemic to share views and exchange information. This study aims to provide a framework for sentiment analysis of opinion leaders...
محفوظ في:
| المؤلف الرئيسي: | |
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| منشور في: |
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://bspace.buid.ac.ae/handle/1234/2134 |
| الوسوم: |
إضافة وسم
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| _version_ | 1862980611699900416 |
|---|---|
| author | MIR, REEM SAJID |
| author_facet | MIR, REEM SAJID |
| author_role | author |
| dc.creator.none.fl_str_mv | MIR, REEM SAJID |
| dc.date.none.fl_str_mv | 2022-11 2023-01-09T07:17:39Z 2023-01-09T07:17:39Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 20204800 https://bspace.buid.ac.ae/handle/1234/2134 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | The British University in Dubai (BUiD) |
| dc.subject.none.fl_str_mv | sentiment analysis COVID-19 |
| dc.title.none.fl_str_mv | Sentiment Analysis for opinion leaders on Twitter: A Case Study of COVID-19 |
| dc.type.none.fl_str_mv | Dissertation |
| description | The coronavirus or COVID-19 is an ongoing global problem where a pandemic was implemented early in 2020 during the outbreak. Social media platforms were used during the pandemic to share views and exchange information. This study aims to provide a framework for sentiment analysis of opinion leaders on Twitter. The experiments were conducted by aiming COVID-19 specific tweets from four opinion leaders by applying machine learning models. The dataset collected uses covid hashtags and tweets posted in English. Sentiment analysis are then performed on these tweets for analysis. The tweets are then preprocessed to prepare it for evaluation. This research provides findings from these tweets using sentiment analysis on machine learning models where the logistic regression model provided the best accuracy results followed by the Multi-layer perceptron model, Support vector machine, Convolutional neural network, and Decision tree. As the tweets directly affect people’s thoughts, the purpose of these results was to know about the tweet’s sentiments from diverse public opinion leaders around the world during COVID-19. |
| id | budr_00f31e7f78d774e2b95a6ea403ad134c |
| identifier_str_mv | 20204800 |
| language_invalid_str_mv | en |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/2134 |
| publishDate | 2022 |
| publisher.none.fl_str_mv | The British University in Dubai (BUiD) |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Sentiment Analysis for opinion leaders on Twitter: A Case Study of COVID-19MIR, REEM SAJIDsentiment analysisCOVID-19twitterThe coronavirus or COVID-19 is an ongoing global problem where a pandemic was implemented early in 2020 during the outbreak. Social media platforms were used during the pandemic to share views and exchange information. This study aims to provide a framework for sentiment analysis of opinion leaders on Twitter. The experiments were conducted by aiming COVID-19 specific tweets from four opinion leaders by applying machine learning models. The dataset collected uses covid hashtags and tweets posted in English. Sentiment analysis are then performed on these tweets for analysis. The tweets are then preprocessed to prepare it for evaluation. This research provides findings from these tweets using sentiment analysis on machine learning models where the logistic regression model provided the best accuracy results followed by the Multi-layer perceptron model, Support vector machine, Convolutional neural network, and Decision tree. As the tweets directly affect people’s thoughts, the purpose of these results was to know about the tweet’s sentiments from diverse public opinion leaders around the world during COVID-19.The British University in Dubai (BUiD)2023-01-09T07:17:39Z2023-01-09T07:17:39Z2022-11Dissertationapplication/pdf20204800https://bspace.buid.ac.ae/handle/1234/2134enoai:bspace.buid.ac.ae:1234/21342023-01-09T23:00:21Z |
| spellingShingle | Sentiment Analysis for opinion leaders on Twitter: A Case Study of COVID-19 MIR, REEM SAJID sentiment analysis COVID-19 |
| title | Sentiment Analysis for opinion leaders on Twitter: A Case Study of COVID-19 |
| title_full | Sentiment Analysis for opinion leaders on Twitter: A Case Study of COVID-19 |
| title_fullStr | Sentiment Analysis for opinion leaders on Twitter: A Case Study of COVID-19 |
| title_full_unstemmed | Sentiment Analysis for opinion leaders on Twitter: A Case Study of COVID-19 |
| title_short | Sentiment Analysis for opinion leaders on Twitter: A Case Study of COVID-19 |
| title_sort | Sentiment Analysis for opinion leaders on Twitter: A Case Study of COVID-19 |
| topic | sentiment analysis COVID-19 |
| url | https://bspace.buid.ac.ae/handle/1234/2134 |