Research on Multi-Feature Fusion False Review Detection Based on DynDistilBERT-BiLSTM-CNN

J Zhang, K Huang, D Lang, Y Xu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the rapid expansion of e-commerce and social media platforms, the prevalence of fake
reviews has become increasingly problematic, misleading consumers and harming both the …

A multilayered preprocessing approach for recognition and classification of malicious social network messages

A Čepulionytė, J Toldinas, B Lozinskis - Electronics, 2023 - mdpi.com
The primary methods of communication in the modern world are social networks, which are
rife with harmful messages that can injure both psychologically and financially. Most …

Determining the best feature combination through text and probabilistic feature analysis for GPT-2-based mobile app review detection

SC Lee, DG Lee, YS Seo - Applied Intelligence, 2024 - Springer
Mobile apps, used by many people worldwide, have become an essential part of life. Before
using a mobile app, users judge the reliability of apps according to their reviews. Therefore …

Finding fake reviews in e-commerce platforms by using hybrid algorithms

M Periasamy, R Mahadevan, RCSP Raman… - arXiv preprint arXiv …, 2024 - arxiv.org
Sentiment analysis, a vital component in natural language processing, plays a crucial role in
understanding the underlying emotions and opinions expressed in textual data. In this …

An Unsupervised Learning Embedding Method Based on Semantic Hashing

J Hamidzadeh, M Moradi - Modeling and Simulation in …, 2022 - mseee.semnan.ac.ir
Embedding learning is an essential issue in Natural Language Processing (NLP)
applications. Most existing methods measure the similarity between text chunks in a context …

Chi-Squared Based Text Convolutional Neural Network for Fake Consumer Review Classification

V Yadav, T Soujanya, K Al-Attabi, D Raju… - 2024 International …, 2024 - ieeexplore.ieee.org
The spam reviews misguide the decision makings of consumers and affected fair trading in
online markets. The previous researches in fake review detection majorly concentrated on …

Fake review detection by fusing parameter efficient adapters in pre-trained language model

SC Ho - 2023 - dr.ntu.edu.sg
Peer-to-peer reviews are important to businesses. Review ratings affect the reputations of
businesses, which helps the growth of the business. However, fake reviews are increasingly …

[PDF][PDF] Integrated NLP with Machine Learning for Improved Hotel Review Analysis

MM Reddy, TS Kumar, C Harikrishna, M Sowmya… - ijarst.in
Online reviews have great impact on today's business and commerce. Decision making for
purchase of online products mostly depends on reviews given by the users. Hence …