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Deep Learning Analysis of Tweets Regarding Covid19 Vaccination in the Serbian Language
Prodanović, Nikola
Ljajić, Adela
Medvecki, Darija
Mitrović, Jelena
Ćulibrk, Dubravko
In this paper, we present an efficient classifier that is able to perform automatic filtering and detection of tweets with clear negative sentiment towards COVID-19 vaccination process. We used a transformer-based architecture in order to build the classifier. A pre-trained transformer encoder that is trained in ELECTRA fashion, BERTic, was selected and fine-tuned on a dataset we collected and manually annotated. Such an automatic filtering and detection algorithm is of utmost importance in order to explore the reasons behind the negative sentiment of Twitter users towards a particular topic and develop a communication strategy to educate them and provide them with accurate information regarding their specific beliefs that have been identified.
engleski
2022
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