用于自动检测网络厌女言论的数据集。
Data set for automatic detection of online misogynistic speech.
作者信息
Lynn Theo, Endo Patricia Takako, Rosati Pierangelo, Silva Ivanovitch, Santos Guto Leoni, Ging Debbie
机构信息
Dublin City University (DCU), Irish Institute of Digital Business (dotLAB), Brazil.
出版信息
Data Brief. 2019 Aug 22;26:104223. doi: 10.1016/j.dib.2019.104223. eCollection 2019 Oct.
The data set is composed of 2285 definitions posted on the Urban Dictionary platform from 1999 to May 2016. The data was classified as misogynistic and non-misogynistic by three independent researchers with domain knowledge. The data set is available in public repository in a table containing two columns: the text-based definition from Urban Dictionary and its respective classification (1 for misogynistic and 0 for non-misogynistic).
该数据集由1999年至2016年5月发布在城市词典平台上的2285条定义组成。三位具有领域知识的独立研究人员将这些数据分类为厌女症和非厌女症。该数据集可在公共存储库中获取，以一个包含两列的表格形式呈现：城市词典中基于文本的定义及其相应分类（厌女症为1，非厌女症为0）。
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