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".本数据集基于指定关键词，通过Twitter API服务采集，采集对象为2021年1月至2021年10月（共计十个月）内发布的相关推文。已对数据进行过滤处理，剔除非印尼语（Bahasa Indonesia）、非目标相关内容、垃圾信息及重复数据。本数据集包含两类标注任务：立场标注与基于方面的情感标注。三名标注人员对样本数据开展手动标注，并采用多数投票策略确定最终类别标签。在立场标注任务中，要求每位标注人员将单条推文针对印度尼西亚新冠疫苗接种计划的立场标注为“支持（Favor）”、“反对（Against）”或“中性（Neutral）”。而在基于方面的情感标注任务中，每条推文需针对预设的七个新冠疫苗接种相关方面进行标注，具体为“服务（Services）”、“实施（Implementation）”、“应用程序（Apps）”、“费用（Costs）”、“接种人群（Participants）”、“疫苗产品（Vaccine-products）”及“总体（General）”；每个预设方面的情感取值仅可为“积极（Positive）”或“消极（Negative）”。