Sentiment analysis using deep learning techniques: a comprehensive review
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …
necessity of using automated sentiment analysis techniques has significantly increased …
Recent developments in recommender systems: A survey
In this technical survey, the latest advancements in the field of recommender systems are
comprehensively summarized. The objective of this study is to provide an overview of the …
comprehensively summarized. The objective of this study is to provide an overview of the …
[HTML][HTML] A hybrid deep learning approach for detecting sentiment polarities and knowledge graph representation on monkeypox tweets
People have recently begun communicating their thoughts and viewpoints through user-
generated multimedia material on social networking websites. This information can be …
generated multimedia material on social networking websites. This information can be …
Optimal parameters selection of back propagation algorithm in the feedforward neural network
L Wang, W Ye, Y Zhu, F Yang, Y Zhou - Engineering Analysis with …, 2023 - Elsevier
The back propagation (BP) is one of the most widely used algorithms in the feedforward
neural network (FNN), but selecting the non-optimal weights and thresholds may induce the …
neural network (FNN), but selecting the non-optimal weights and thresholds may induce the …
Frhids: Federated learning recommender hydrid intrusion detection system model in software defined networking for consumer devices
In the past few years, numerous methods of attack against recommendation systems have
been developed. Cellphones, smart devices, and self-driving cars are instances of …
been developed. Cellphones, smart devices, and self-driving cars are instances of …
Cascaded Knowledge-Level Fusion Network for Online Course Recommendation System
W Ma, Y Zhao, X Fan - IEEE Transactions on Big Data, 2023 - ieeexplore.ieee.org
In light of the global proliferation of the COVID-19 pandemic, there is a notable surge in
public interest towards Massive Open Online Courses (MOOCs) recently. Within the realm of …
public interest towards Massive Open Online Courses (MOOCs) recently. Within the realm of …
Machine failure prediction using joint reserve intelligence with feature selection technique
A Shaheen, M Hammad, W Elmedany… - … Journal of Computers …, 2023 - Taylor & Francis
A model with high accuracy of machine failure prediction is important for any machine life
cycle. In this paper, a prediction model based on machine learning methods is proposed …
cycle. In this paper, a prediction model based on machine learning methods is proposed …
Personality-driven experience storage and retrieval for sentiment classification
The existing methods for sentiment classification normally ignore that the past experiences
retrieved by users under particular situations would affect their sentiment expressions …
retrieved by users under particular situations would affect their sentiment expressions …
Twit-CoFiD: a hybrid recommender system based on tweet sentiment analysis
J Latrech, Z Kodia, N Ben Azzouna - Social Network Analysis and Mining, 2024 - Springer
Internet users are overwhelmed by the vast number of services and products to choose from.
This data deluge has led to the need for recommender systems. Simultaneously, the …
This data deluge has led to the need for recommender systems. Simultaneously, the …
SQPMF: successive point of interest recommendation system based on probability matrix factorization
With the development of Location-Based Social Networks, successive Point Of Interest (POI)
recommendation systems have become a hot spot in the field of recommendation systems …
recommendation systems have become a hot spot in the field of recommendation systems …