Detecting fake reviews through topic modelling

ŞÖ Birim, I Kazancoglu, SK Mangla… - Journal of Business …, 2022 - Elsevier
Against the uncertainty caused by the information overload in the online world, consumers
can benefit greatly by reading online product reviews before making their online purchases …

Joint sentiment topic model with word embeddings for fake review detection

L Shi, S Xie, L Wei, Y Tao, AW Junaid… - Available at SSRN …, 2022 - papers.ssrn.com
Instead of relying exclusively on suppliers to excavate information about products and
services, Internet users are now capable of attaining valuable information from a large …

USDSE: A Novel Method to Improve Service Reputation Based on Double-Side Evaluation

J Xiao, J Zeng, X Miao, Y Cao, J Zhao… - … Conference on Machine …, 2022 - Springer
Fair evaluation of users is the basic guarantee for the healthy development of the service
ecosystem. However, existing methods do not provide an indicator of when can get fair …

Fake Review Detection Using Machine Learning and Deep Learning Algorithms

A Podder, F Farhana, F Afroze - 2022 - 103.133.167.11
With the rapid growth of e-commerce platform, the Fake Review Detection has become a
popular and significant topic for both the businesses and research area in recent years. For …

Artificial intelligence as a basis for innovation management in tourism

СР Муминова… - Сервис в России и за …, 2022 - ruservices.rgutspubl.org
Аннотация В статье рассматриваются теоретические исследования и практические
разработки, затрагивающие вопросы внедрения технологии искусственного …

SERVICES IN RUSSIA AND ABROAD

SR MUMINOVA, NG TOMASHEVSKAYA - SERVICES IN RUSSIA AND …, 2022 - elibrary.ru
The paper overviews theoretical researches and practical applications related to
implementation of artificial intelligence (AI) in tourism. Recently, much attention is given to …