Patent · US Active

Method for detecting deceptive e-commerce reviews based on sentiment-topic joint probability

US11100283B2 · kind B2 · utility

0Cited by

4References

1Claims

0Family size

Assignee

SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY · CN

Inventors

Shujuan Ji · Qingdao, CN
Luyu Dong · Qingdao, CN
Chunjin ZHANG · Qingdao, CN
Qi Zhang · Shanghai, CN
Da Li · Beijing, CN

Key dates

Filing date	Aug 14, 2018
Grant date	Aug 24, 2021
Priority date	—
Expiry date	Aug 14, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG06F40/30
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Provided is a method for detecting deceptive e-commerce reviews based on a sentiment-topic joint probability, which belongs to the fields of natural language processing, data mining and machine learning. In the data of different fields, a STM model is superior to other reference models; compared with other models, the STM model belongs to a completely un-supervised (no label information) statistic learning method and shows great advantages in processing unbalanced large sample dataset. Thus, the STM model is more suitable for application in a real e-commerce environment.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.