The Problem of Identifying Misogynist Language on Twitter (and other online social spaces)

被引：31
作者：
Hewitt, Sarah [1 ]
Tiropanis, T. [1 ]
Bokhove, C. [1 ]
机构：
[1] Univ Southampton, Univ Rd, Southampton, Hants, England
来源：
PROCEEDINGS OF THE 2016 ACM WEB SCIENCE CONFERENCE (WEBSCI'16) | 2016年
关键词：
Misogyny; online abuse; Twitter; sentiment analysis; clustering;
D O I：
10.1145/2908131.2908183
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页码：333 / 335
页数：3
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