Results 31 to 40 of about 110,130 (282)
Detecting Singleton Review Spammers Using Semantic Similarity
, 2016 Online reviews have increasingly become a very important resource for consumers when making purchases. Though it is becoming more and more difficult for people to make well-informed buying decisions without being deceived by fake reviews.
Blei D. M. +8 more
core +1 more source
Fake or Genuine? Contextualised Text Representation for Fake Review Detection
Natural Language Processing, 2021 Online reviews have a significant influence on customers' purchasing decisions for any products or services. However, fake reviews can mislead both consumers and companies. Several models have been developed to detect fake reviews using machine learning approaches.
Mohawesh, Rami +4 more
openaire +2 more sources
Task-specific Word Identification from Short Texts Using a Convolutional Neural Network
, 2017 Task-specific word identification aims to choose the task-related words that best describe a short text. Existing approaches require well-defined seed words or lexical dictionaries (e.g., WordNet), which are often unavailable for many applications such ...
Wu, Xintao, Xiang, Yang, Yuan, Shuhan
core +1 more source
Fake peer reviews, fake identities, fake accounts, fake data: beware!
AME Medical Journal, 2017 Hopefully, for most scientists, science represents a path of exploration where the unknown/unexplored is the core challenge ahead. Sadly, in many respects, science has evolved from an exploratory model to a business model. It has become, in many instances, the verification tool for technologies, products and innovations that then establish corporate ...
openaire +1 more source
Fake reviews detection in e-commerce using machine learning techniques: A comparative survey [PDF]
BIO Web of ConferencesIn the field of online commerce, customer reviews have great importance because they significantly influence the profits of a business. Most consumers on the internet rely on reviews to help them make decisions about what to buy because they provide a ...
Jalal Abd Maysam, Hasan Hussein Mohsin
doaj +1 more source
Automated Crowdturfing Attacks and Defenses in Online Review Systems
, 2017 Malicious crowdsourcing forums are gaining traction as sources of spreading misinformation online, but are limited by the costs of hiring and managing human workers.
Arisoy Ebru +10 more
core +1 more source
Fake review detection using transformer-based enhanced LSTM and RoBERTa
International Journal of Cognitive Computing in EngineeringInternet reviews significantly influence consumer purchase decisions across all types of goods and services. However, fake reviews can mislead both customers and businesses. Many machine learning (ML) techniques have been proposed to detect fake reviews,
Rami Mohawesh +4 more
doaj +1 more source
IEEE Access, 2023 The growth of the online review phenomenon, which has expanded from specialised trade magazines to end users via online platforms, has also increasingly involved the cultural heritage of countries, a source of tourism and growth driver of local economies.
Rosario Catelli +7 more
doaj +1 more source
Fake CPT Violation in Disappearance Neutrino Oscillations [PDF]
, 2001 We make an analysis of the fake CPT-violating asymmetries between the survival probabilities of neutrinos and antineutrinos, induced by the terrestrial matter effects, in three different scenarios of long-baseline neutrino oscillation experiments with L ...
+21 more
core +2 more sources