A Stance Dataset with Aspect-based Sentiment Information from Indonesian COVID-19 Vaccination-related Tweets

The dataset was collected using Twitter API services for specific keywords posted for ten months, starting from January 2021 to October 2021. The data has been filtered for non-Bahasa (Indonesia language), non-target-related, spam, and duplication. There are two labeling processes: stance and aspect-based sentiment. Three annotators manually labeled the sample data and used the majority vote strategy for the final class label. In our annotation strategy, for stance labeling, each annotator was asked to annotate the individual tweets as "Favor", "Against", or "Neutral" for COVID-19 vaccination programs in Indonesia. While for aspect-based sentiment labeling, each tweet has been annotated into seven predetermined aspects of the COVID-19 vaccination, namely "Services", "Implementation", "Apps", "Costs", "Participants", "Vaccine-products", and "General". Each predetermined aspect will have two possible sentiment values, between "Positive" and "Negative".