Apr 18, 2021 · We focus on the effects of COVID-19 on user sentiment and show the user behavior trend during the early months of the pandemic through mining and analyzing OSN ...
To this end, we used Twitter text data gathered during the COVID-19 era and conducted a sentiment analysis on these data to provide a more comprehensive picture.
Fingerprint. Dive into the research topics of 'User Behavior Discovery in the COVID-19 Era through the Sentiment Analysis of User Tweet Texts'.
User Behavior Discovery in the COVID-19 Era through the Sentiment Analysis of User Tweet Texts. MAHMOUDI, A., YEUNG, W. L. V. & SEE-TO, W. K. E., Apr 2021 ...
User Behavior Discovery in the COVID-19 Era through the Sentiment Analysis of User Tweet Texts. 2021 | Preprint. DOI: 10.48550/ARXIV.2104.08867. Contributors ...
In this study, we use Twitter data for sentiment analysis to identify public sentiments to investigate the increased fear associated with coronavirus. Many ...
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In this study, we conducted a sentiment analysis of Twitter data. We analyzed the relationship between the sentiment changes in COVID-19-related tweets and ...
Due to the social and economic fallout from the COVID-19 pandemic, we sought to gauge the attitudes of social network users, in this case, Twitter, ...
This study aims to conduct text mining of affective valence of the sentiments generated on social media during the COVID-19 and measure their association with ...
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Aug 6, 2022 · This paper addresses the subject of sentiment analysis, focusing on the classification of users' sentiment from posts related to COVID-19 that originate from ...