A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews
Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …
Detection of online fake news using blending ensemble learning
A Hansrajh, TT Adeliyi, J Wing - Scientific Programming, 2021 - Wiley Online Library
The exponential growth in fake news and its inherent threat to democracy, public trust, and
justice has escalated the necessity for fake news detection and mitigation. Detecting fake …
justice has escalated the necessity for fake news detection and mitigation. Detecting fake …
Credit card fraud detection using ensemble data mining methods
S Bakhtiari, Z Nasiri, J Vahidi - Multimedia Tools and Applications, 2023 - Springer
Nowadays, credit card fraud has become one of the most complex and vital issues in the
world, even more than the past decades. Widespread use of credit cards is one of the most …
world, even more than the past decades. Widespread use of credit cards is one of the most …
Supervised ensemble learning methods towards automatically filtering Urdu fake news within social media
The popularity of the internet, smartphones, and social networks has contributed to the
proliferation of misleading information like fake news and fake reviews on news blogs …
proliferation of misleading information like fake news and fake reviews on news blogs …
Shilling Attacks and Fake Reviews Injection: Principles, Models, and Datasets
Recommendation systems have proved to be a compelling performance in overcoming the
data overload problem in many domains, such as e-commerce, e-health, and transportation …
data overload problem in many domains, such as e-commerce, e-health, and transportation …
Rumor classification through a multimodal fusion framework and ensemble learning
The proliferation of rumors on social media has become a major concern due to its ability to
create a devastating impact. Manually assessing the veracity of social media messages is a …
create a devastating impact. Manually assessing the veracity of social media messages is a …
[HTML][HTML] Classifying deceptive reviews for the cultural heritage domain: A lexicon-based approach for the Italian language
Nowadays, the spread of deceptive reviews is a problem that has reached critical
dimensions, having a significant economic impact on business activities. This paper aims to …
dimensions, having a significant economic impact on business activities. This paper aims to …
An approach for improved students' performance prediction using homogeneous and heterogeneous ensemble methods
E Evangelista, B Sy - International Journal of Electrical and …, 2022 - zuscholars.zu.ac.ae
Web-based learning technologies of educational institutions store a massive amount of
interaction data which can be helpful to predict students' performance through the aid of …
interaction data which can be helpful to predict students' performance through the aid of …
Normalized effect size (NES): a novel feature selection model for Urdu fake news classification
Social media has become an essential source of news for everyday users. However, the rise
of fake news on social media has made it more difficult for users to trust the information on …
of fake news on social media has made it more difficult for users to trust the information on …
A Comparative Study of Supervised Machine Learning Algorithms for Fake Review Detection
F Setievi, J Natalia, TR Tjhang, IS Edbert… - … on Research of …, 2022 - ieeexplore.ieee.org
The behavior of shopping has shifted into online shopping. Especially after Coronavirus
Disease of 2019 (COVID-19), people choose online shopping rather than going to the …
Disease of 2019 (COVID-19), people choose online shopping rather than going to the …