Foundation and large language models: fundamentals, challenges, opportunities, and social impacts

D Myers, R Mohawesh, VI Chellaboina, AL Sathvik… - Cluster …, 2024 - Springer
Abstract Foundation and Large Language Models (FLLMs) are models that are trained using
a massive amount of data with the intent to perform a variety of downstream tasks. FLLMs …

Fake review detection techniques, issues, and future research directions: a literature review

RA Duma, Z Niu, AS Nyamawe, J Tchaye-Kondi… - … and Information Systems, 2024 - Springer
Recently, the impact of product or service reviews on customers' purchasing decisions has
become increasingly significant in online businesses. Consequently, manipulating reviews …

[HTML][HTML] Fake review detection using transformer-based enhanced LSTM and RoBERTa

R Mohawesh, HB Salameh, Y Jararweh… - International Journal of …, 2024 - Elsevier
Internet reviews significantly influence consumer purchase decisions across all types of
goods and services. However, fake reviews can mislead both customers and businesses …

Node embedding approach for accurate detection of fake reviews: a graph-based machine learning approach with explainable AI

N Zaki, A Krishnan, S Turaev, Z Rustamov… - International Journal of …, 2024 - Springer
In recent years, online reviews have become increasingly important in promoting various
products and services. Unfortunately, writing deceptive reviews has also become a common …

[PDF][PDF] 'The strategy of discriminating false comments on the internet by fusing probabilistic topic and word vector models

F Long - Int. Arab J. Inform. Technol, 2024 - iajit.org
With the acceleration of the social process of “Internet+”, e-commerce has entered an era of
rapid development. In response to the subjective judgments in current false information …

Medicine Drug Name Detection Object Recognition using Deep Learning based OCR System

S Jasmine, R Ch, R Srikavya - 2023 International Conference …, 2023 - ieeexplore.ieee.org
In a digital picture, such as a photo, document, or any other image with tags or steps, OCR is
a system that can identify characters like letters, numbers, and symbols. Pre-processing is …

Monitoring AI-Based Processing for Predicting Poisonous Gas Emissions in Smart Cities Using Novel Temporal Dynamics Prediction Model

K Jaisharma, N Deepa, T Devi - 2024 Second International …, 2024 - ieeexplore.ieee.org
Smart cities, driven by technological advancements, face challenges related to
environmental pollution, including poisonous gas emissions. Existing systems often struggle …

Confounds and overestimations in fake review detection: Experimentally controlling for product-ownership and data-origin

F Soldner, B Kleinberg, SD Johnson - Plos one, 2022 - journals.plos.org
The popularity of online shop** is steadily increasing. At the same time, fake product
reviews are published widely and have the potential to affect consumer purchasing …

MAGAT-HOS: A Multi-Attention Graph Neural Network for Fake Review Detection by Incorporating High-Order Semantic Information

Y Yao, L Chen, D Zhang, L Qin - 2024 International Joint …, 2024 - ieeexplore.ieee.org
The proliferation of fake reviews on e-commerce platforms has seriously and negatively
affected consumers' purchase decisions. In recent years, some researchers have started …

K-means Clustering Powered Context Aware Food Recommender System

M Panwar, A Sharma, OP Mahela… - 2023 International …, 2023 - ieeexplore.ieee.org
This paper designed a K-means clustering powered context aware food recommender
system (CAFRS). The CAFRS is based on dividing the food data sets into clusters to …