A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis
A Ghorbanali, MK Sohrabi - Artificial Intelligence Review, 2023 - Springer
Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …
applications in various fields. The increasing popularity of social networks and growth and …
[HTML][HTML] Efficient detection of DDoS attacks using a hybrid deep learning model with improved feature selection
DDoS (Distributed Denial of Service) attacks have now become a serious risk to the integrity
and confidentiality of computer networks and systems, which are essential assets in today's …
and confidentiality of computer networks and systems, which are essential assets in today's …
[HTML][HTML] Analyzing RNA-seq gene expression data using deep learning approaches for cancer classification
Ribonucleic acid Sequencing (RNA-Seq) analysis is particularly useful for obtaining insights
into differentially expressed genes. However, it is challenging because of its high …
into differentially expressed genes. However, it is challenging because of its high …
Detection of Fake News Text Classification on COVID‐19 Using Deep Learning Approaches
WH Bangyal, R Qasim, NU Rehman… - … methods in medicine, 2021 - Wiley Online Library
A vast amount of data is generated every second for microblogs, content sharing via social
media sites, and social networking. Twitter is an essential popular microblog where people …
media sites, and social networking. Twitter is an essential popular microblog where people …
A hybrid deep learning technique for personality trait classification from text
H Ahmad, MU Asghar, MZ Asghar, A Khan… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, Cognitive-based Sentiment Analysis with emphasis on automatic detection of user
behaviour, such as personality traits, based on online social media text has gained a lot of …
behaviour, such as personality traits, based on online social media text has gained a lot of …
[HTML][HTML] Efficient prediction of court judgments using an LSTM+ CNN neural network model with an optimal feature set
As the amount of historical data available in the legal arena has grown over time, industry
specialists are driven to gather, compile, and analyze this data in order to forecast court case …
specialists are driven to gather, compile, and analyze this data in order to forecast court case …
Diagnosis of cardiovascular disease using deep learning technique
S Ahmad, MZ Asghar, FM Alotaibi, YD Alotaibi - Soft Computing, 2023 - Springer
Abstract World Health Organization reports that cardiovascular disease is the major cause of
death. Cardiovascular disease is responsible for around 31% of global deaths, resulting in …
death. Cardiovascular disease is responsible for around 31% of global deaths, resulting in …
[HTML][HTML] Emoji, text, and sentiment polarity detection using natural language processing
Virtual users generate a gigantic volume of unbalanced sentiments over various online
crowd-sourcing platforms which consist of text, emojis, or a combination of both. Its accurate …
crowd-sourcing platforms which consist of text, emojis, or a combination of both. Its accurate …
Classification of multiple emotions in Indonesian text using the k-nearest neighbor method
Emotions are expressions manifested by individuals in response to what they see or
experience. In this study, emotions were examined through individuals' tweets regarding the …
experience. In this study, emotions were examined through individuals' tweets regarding the …
Construction of energy minimized WSN using GA-SAMP-MWPSO and K-mean clustering algorithm with LDCF deployment strategy
Energy is the most valuable resource in WSN. As the power storage capability of the tiny
WSN is very limited, efficient mechanisms for energy minimization should be implemented to …
WSN is very limited, efficient mechanisms for energy minimization should be implemented to …