An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter
针对短小且噪声较大的用户生成数据的迭代主题模型过滤框架：分析推特上的阴谋论
期刊:International Journal of Data Science and Analytics
影响因子:2.8
doi:10.1007/s41060-022-00321-4
Kant, Gillian; Wiebelt, Levin; Weisser, Christoph; Kis-Katos, Krisztina; Luber, Mattias; Säfken, Benjamin
