期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2011
卷号：2011
出版社：ACL Anthology
摘要：Consumers increasingly rate, review and research
products online (Jansen, 2010; Litvin
et al., 2008). Consequently, websites containing
consumer reviews are becoming targets
of opinion spam. While recent work
has focused primarily on manually identifiable
instances of opinion spam, in this work
we study deceptive opinion spam¡ªfictitious
opinions that have been deliberately written to
sound authentic. Integrating work from psychology
and computational linguistics, we develop
and compare three approaches to detecting
deceptive opinion spam, and ultimately
develop a classifier that is nearly 90% accurate
on our gold-standard opinion spam dataset.
Based on feature analysis of our learned models,
we additionally make several theoretical
contributions, including revealing a relationship
between deceptive opinions and imaginative
writing.
