InternetArchive Pharmacovigilance-Tweets

InternetArchive Pharmacovigilance-Tweets是由乔治亚州立大学创建的一个大规模推特数据集，专注于药物安全应用。该数据集包含1,181,993条与药物使用相关的推文，这些推文是从互联网档案馆的94亿条推文中筛选出来的。创建过程中，研究者利用了现有的文献中的手工筛选数据集，并使用机器学习方法验证推文的相关性。该数据集主要用于训练机器学习和深度学习模型，以支持药物警戒领域的研究，旨在通过社交媒体数据提高药物安全性评估的效率和准确性。

InternetArchive Pharmacovigilance-Tweets is a large-scale Twitter dataset developed by Georgia State University, focusing on pharmacovigilance applications. This dataset contains 1,181,993 drug-use-related tweets, which were screened from 9.4 billion tweets archived by the Internet Archive. During the dataset creation, researchers utilized manually curated datasets from existing literature and employed machine learning methods to verify the relevance of the tweets. This dataset is primarily used for training machine learning and deep learning models to support research in the field of pharmacovigilance, aiming to improve the efficiency and accuracy of drug safety assessment via social media data.