Apr 12, 2021 · However, only two studies applied deep learning to identify tweets against HPV vaccines [23,24]. Therefore, this study aims to evaluate the ...
In this project, we have analyzed COVID -Vaccine related tweets and Anti-Vaccine tweets, performed sentiment analysis and Topic modeling, and compared various ...
Apr 12, 2021 · Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic · Authors · Affiliations.
This study proposes an analytical framework for analyzing tweets (COVID Vaccine, especially the Anti-. COVID Vaccine) to identify and categorize fine-grained ...
Despite a variety of the research target, the aim or objective of the studies proved to be working in the same direction, to unfold the topic behind vaccine ...
This study aims to evaluate the performance of different natural language processing models to identify anti-vaccination tweets that were published during the ...
“…Griffith et al (2021) have studied the COVID-19 vaccine hesitancy in Canada through the content analysis of tweets using the theoretical domains framework.
This study aims to evaluate the performance of different natural language processing models to identify anti-vaccination tweets that were published during the ...
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Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset. Author links open overlay panel
Many previous papers developed bespoke machine learning models as steps to achieve other goals, and few have been applied to classify anti-vaccine sentiment.