About this document
User and Review Feature Analysis by laila godson is a document available to read on EtoBox.
1. The document outlines features that can be used to detect spam reviews, including personal content similarity, reviewing burstness, ratio of first reviews, duplicate reviews, extreme ratings, rating deviation, early time frames, and content similarity on same products. 2. It also lists potential product features such as the number of positive/negative reviews, consistency of content and review style, and semantic inconsistency. 3. Review metadata is mentioned as another source of features, including
- Author
- laila godson
- Language
- EN