Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics
The rapid increase in COVID-19 cases has become the symbol of fear, anxiety, and panic among people around the globe. Mass media has played an active role in community education by addressing the health information of this pandemic. People interact by sharing their ideas and feelings through social...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/9914224 |
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| author | Abdul Razzaq Touqeer Abbas Sarfraz Hashim Salman Qadri Imran Mumtaz Najia Saher Muzammil Ul-Rehman Faisal Shahzad Syed Ali Nawaz |
| author_facet | Abdul Razzaq Touqeer Abbas Sarfraz Hashim Salman Qadri Imran Mumtaz Najia Saher Muzammil Ul-Rehman Faisal Shahzad Syed Ali Nawaz |
| author_sort | Abdul Razzaq |
| collection | DOAJ |
| description | The rapid increase in COVID-19 cases has become the symbol of fear, anxiety, and panic among people around the globe. Mass media has played an active role in community education by addressing the health information of this pandemic. People interact by sharing their ideas and feelings through social media platforms. There is a considerable need to implement different measures and better perceive COVID-19 pertinent facts and information by demystifying public sentiments. In this study, the Quarantine Life dataset of thousand tweets is based on #Quarantine, #Quarantine Days, #Quarantine Life, #My Pandemic Plan, and #Quarantine and Chill from January to September 2020 has been collected from Twitter. The extracted data have been scrubbed through preprocessing techniques. The sentiments and topics extracted from tweets have been analyzed through the TEXT BLOB, VADER, and AFFIN approach. Results show that people were distressed and fearful due to the COVID-19 pandemic. However, most people enjoyed by playing games, watching movies, and reading books during the lockdown period. According to the present meta-analysis, physical activity interventions are beneficial for patients with dementia in terms of cognition. The proposed framework illustrates the insight impact of COVID-19 on human physiological and mainly focuses on the evaluation of sentiment dynamics at the topical level. |
| format | Article |
| id | doaj-art-ba44cbd9ff194069bb4dca23ea35e8ce |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-ba44cbd9ff194069bb4dca23ea35e8ce2025-02-03T06:01:52ZengWileyComplexity1099-05262022-01-01202210.1155/2022/9914224Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment DynamicsAbdul Razzaq0Touqeer Abbas1Sarfraz Hashim2Salman Qadri3Imran Mumtaz4Najia Saher5Muzammil Ul-Rehman6Faisal Shahzad7Syed Ali Nawaz8Department of Computer ScienceDepartment of Computer ScienceDepartment of Agricultural EngineeringDepartment of Computer ScienceDepartment of Computer ScienceDepartment of Information TechnologyDepartment of Data ScienceDepartment of Information TechnologyDepartment of Information TechnologyThe rapid increase in COVID-19 cases has become the symbol of fear, anxiety, and panic among people around the globe. Mass media has played an active role in community education by addressing the health information of this pandemic. People interact by sharing their ideas and feelings through social media platforms. There is a considerable need to implement different measures and better perceive COVID-19 pertinent facts and information by demystifying public sentiments. In this study, the Quarantine Life dataset of thousand tweets is based on #Quarantine, #Quarantine Days, #Quarantine Life, #My Pandemic Plan, and #Quarantine and Chill from January to September 2020 has been collected from Twitter. The extracted data have been scrubbed through preprocessing techniques. The sentiments and topics extracted from tweets have been analyzed through the TEXT BLOB, VADER, and AFFIN approach. Results show that people were distressed and fearful due to the COVID-19 pandemic. However, most people enjoyed by playing games, watching movies, and reading books during the lockdown period. According to the present meta-analysis, physical activity interventions are beneficial for patients with dementia in terms of cognition. The proposed framework illustrates the insight impact of COVID-19 on human physiological and mainly focuses on the evaluation of sentiment dynamics at the topical level.http://dx.doi.org/10.1155/2022/9914224 |
| spellingShingle | Abdul Razzaq Touqeer Abbas Sarfraz Hashim Salman Qadri Imran Mumtaz Najia Saher Muzammil Ul-Rehman Faisal Shahzad Syed Ali Nawaz Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics Complexity |
| title | Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics |
| title_full | Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics |
| title_fullStr | Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics |
| title_full_unstemmed | Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics |
| title_short | Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics |
| title_sort | extraction of psychological effects of covid 19 pandemic through topic level sentiment dynamics |
| url | http://dx.doi.org/10.1155/2022/9914224 |
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