A robust sentiment analysis method based on sequential combination of convolutional and recursive neural networks

H Sadr, MM Pedram, M Teshnehlab - Neural processing letters, 2019 - Springer
With explosive development of the World Wide Web, an enormous amount of text
information containing users' feeling, emotions and opinions has been generated and is …

CMTSNN: A deep learning model for multiclassification of abnormal and encrypted traffic of Internet of Things

S Zhu, X Xu, H Gao, F Xiao - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the increasing types and number of Internet of Things (IoT) devices and malicious
programs and the popularization of encryption technology in the communication process …

CSCNN: cost-sensitive convolutional neural network for encrypted traffic classification

S Soleymanpour, H Sadr… - Neural Processing …, 2021 - Springer
By the rapid development of the Internet and online applications, traffic classification not only
has changed to an interesting topic in the field of computer networks but also plays a key …

MSDLF-K: A Multimodal Feature Learning Approach for Sentiment Analysis in Korean Incorporating Text and Speech

TY Kim, J Yang, E Park - IEEE Transactions on Multimedia, 2024 - ieeexplore.ieee.org
Recently, sentiment analysis research has made significant improvements in addressing
sentiment and subjectivity within textual content. The advent of multimodal deep learning …

Hybrid deep models for parallel feature extraction and enhanced emotion state classification

S Pichandi, G Balasubramanian, V Chakrapani - Scientific Reports, 2024 - nature.com
Emotions play a vital role in recognizing a person's thoughts and vary significantly with
stress levels. Emotion and stress classification have gained considerable attention in …

Design and analysis of a telemonitoring system for high-risk pregnant women in need of special care or attention

M Nazari, S Moayed Rezaie, F Yaseri, H Sadr… - BMC Pregnancy and …, 2024 - Springer
Background High-risk pregnancies, characterized by underlying health issues or unusual
circumstances, pose increased risks to both maternal and neonatal health during pregnancy …

Detection of hate: speech tweets based convolutional neural network and machine learning algorithms

HA Sennary, G Abozaid, A Hemeida, A Mikhaylov… - Scientific Reports, 2024 - nature.com
There is no doubt that social media sites have provided many benefits to humanity, such as
sharing information continuously and communicating with others easily. It also seems that …

Sentiment analysis of tweets employing convolutional neural network optimized by enhanced gorilla troops optimization algorithm

F Li, J Li, F Abza - Scientific Reports, 2025 - nature.com
Sentiment analysis has become a difficult and important task in the current world. Because
of several features of data, including abbreviations, length of tweet, and spelling error, there …

Unified topic-based semantic models: a study in computing the semantic relatedness of geographic terms

H Sadr, MN Soleimandarabi… - … Conference on Web …, 2019 - ieeexplore.ieee.org
Over the last decades, a multitude of semantic relatedness measures have been proposed.
Despite an extensive amount of work dedicated to this area of research, the understanding …

An efficient deep learning method for encrypted traffic classification on the web

S Soleymanpour, H Sadr… - 2020 6th International …, 2020 - ieeexplore.ieee.org
Traffic classification plays an important role in network management and cyber-security. With
the development of the Internet, online applications and in the following encrypted …