A BiLSTM-CF and BiGRU-based deep sentiment analysis model to explore customer reviews for effective recommendations
The advancement of technology has led to the rise of social media forums and e-commerce
platforms, which have become popular means of communication, and people can express …
platforms, which have become popular means of communication, and people can express …
ASIF: attention-based sentiment inquiry framework for profound product recommendations
A Nawaz - Multimedia Tools and Applications, 2024 - Springer
Online product recommendation has gained much popularity in recent years and has
become the most demanding research area that can help consumers make better …
become the most demanding research area that can help consumers make better …
Pre-diabetic diagnosis from habitual and medical features using ensemble classification
Z Aamir, I Murtza - Journal of Computing & Biomedical Informatics, 2023 - jcbi.org
Diabetes is the fastest growing metabolic disorder. It has become a serious global health
emergency. This disease if not diagnosed can increase the risk of serious life-threatening …
emergency. This disease if not diagnosed can increase the risk of serious life-threatening …
Security Threat Exploration on Smart Living Style based on Twitter Data
T AlSaedi, M Mehmood, A Mahmood… - … , Technology & Applied …, 2024 - etasr.com
Abstract The Internet of Things (IoT) has revolutionized individuals' homes with smart
devices, but it has also brought security worries due to the huge amounts of data they …
devices, but it has also brought security worries due to the huge amounts of data they …
[PDF][PDF] Harnessing Machine Learning for Arabic COVID-19 Omicron News Classification: A Comparative Study.
A Alzahrani - International Journal of Advances in Soft Computing & …, 2023 - i-csrs.org
The exponential growth of web-based content has prompted governments and businesses
to seek new strategies and tools for effective governance, navigation, and management of …
to seek new strategies and tools for effective governance, navigation, and management of …
Systematic Literature Review on Aspect-Based Sentiment Analysis: Insights from Community Reports
This systematic literature review examines the utilization of datasets, methodologies, and
evaluation metrics in Aspect-Based Sentiment Analysis (ABSA) across 44 scholarly …
evaluation metrics in Aspect-Based Sentiment Analysis (ABSA) across 44 scholarly …
CNN and LSTM based hybrid deep learning model for sentiment analysis on Arabic text reviews
Companies with diverse product offerings rely on customer reviews to gauge product
reception. Following a purchase, customers often share their opinions on the website …
reception. Following a purchase, customers often share their opinions on the website …
[PDF][PDF] Enhancing healthcare services recommendation through sentiment analysis
As technology advances, most people use social media sites like Twitter, Facebook, and
Flickr to share information and communicate with others. The volume of free-text data is …
Flickr to share information and communicate with others. The volume of free-text data is …
Multus Medium Opinion Mining (MMOM): A Novel Hybrid Deep Learning Approach for Comprehensive Product Review Analysis
Advancements in technology have revolutionized communication on social media platforms,
where reviews and comments greatly influence product selection. Current opinion mining …
where reviews and comments greatly influence product selection. Current opinion mining …
Benchmarking Travelling Reviews using Opinion Mining
Online travel reviews offer valuable data, yet it remains uncertain if those most influenced by
these reviews actually read them. This research aims to uncover consistent patterns and …
these reviews actually read them. This research aims to uncover consistent patterns and …