A hybrid recommendation model in social media based on deep emotion analysis and multi-source view fusion

L Jiang, L Liu, J Yao, L Shi - Journal of Cloud Computing, 2020 - Springer
The recommendation system is an effective means to solve the information overload
problem that exists in social networks, which is also one of the most common applications of …

Transfer learned designer polymers for organic solar cells

J Munshi, W Chen, TY Chien… - Journal of Chemical …, 2021 - ACS Publications
Organic photovoltaic (OPV) materials have been examined extensively over the past two
decades for solar cell applications because of the potential for device flexibility, low …

CAViaR-WS-based HAN: conditional autoregressive value at risk-water sailfish-based hierarchical attention network for emotion classification in COVID-19 text review …

B Venkateswarlu, VV Shenoi, P Tumuluru - Social Network Analysis and …, 2022 - Springer
Abstract The Corona Virus Disease-2019 (COVID-19) pandemic has made a remarkable
impact on economies and societies worldwide. With numerous procedures of social …

Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro‐Larynx Device

ZJ Mohammed Ameen… - Advances in Human …, 2023 - Wiley Online Library
Recent advances in speech recognition have achieved remarkable performance
comparable with human transcribers' abilities. But this significant performance is not the …

A variational selection mechanism for article comment generation

J Liu, P Cheng, J Dai, J Liu - Expert Systems with Applications, 2024 - Elsevier
Article comment generation is a new and challenging task in natural language processing,
which has recently received much attention from researchers. In the article comment …

An Entity Ontology-Based Knowledge Graph Embedding Approach to News Credibility Assessment

Q Liu, Y Jin, X Cao, X Liu, X Zhou… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Fake news is a prevalent issue in modern society, leading to misinformation, and societal
harm. News credibility assessment is a crucial approach for evaluating the accuracy and …

Development of a Deep Learning-based Arabic Speech Recognition System for Automatons

A Alahmadi, A Alahmadi, E Alduweib… - … , Technology & Applied …, 2024 - etasr.com
The latest developments in voice recognition have achieved amazing results that are on par
with those of human transcribers. However, this significant efficiency may not apply to all …

User topic preferences based influence maximization in overlapped networks

J Ge, LL Shi, L Liu, X Sun - IEEE Access, 2019 - ieeexplore.ieee.org
With the rapid development of online social networks, there is a trend of information
interconnection among online social networks. User's social behaviors are no longer …

Adaptive slide window-based feature cognition for deceptive information identification

H Yang, Z Xu, L Liu, J Tian, Y Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Numerous false information come up to be the primary threat for regular communication and
cooperation, which always have similar expressions and diffusion patterns with regular …

Automated Content Generation System Using Neural Text Generation

R Kabra, R Solsi, S Jaiswal, S Sankhe… - Data Intelligence and …, 2022 - Springer
Most of the time people find content writing to be difficult, despite the fact that it appears to be
easy. Many struggle with language, particularly when writing letters, documents, and other …