Weibo Dataset

Weibo datasets are collections of user-generated content from the popular Chinese microblogging platform, serving as valuable resources for research in various areas of natural language processing and social media analysis. Current research focuses on leveraging these datasets to analyze sentiment, detect misinformation and suicidal ideation, predict trends, and understand cultural nuances in language use, employing models like CNNs, LSTMs, BERT, and transformer architectures. These studies contribute significantly to our understanding of online behavior, enabling advancements in areas such as mental health intervention, financial market prediction, and the mitigation of harmful online content.