Furthermore, most previous work in the area has focused on the detection of DISRUPTIVE OPINION SPAM-uncontroversial instances of spam that are easily identified by a human reader, e.g., advertisements, questions, and other irrelevant or nonopinion text (Jindal and Liu, 2008).
for each of the 20 chosen hotels, we select 20 truthful reviews from a log-normal (lefttruncated at 150 characters) distribution fit to the lengths of the deceptive reviews.