Multi-view deep network: a deep model based on learning features from heterogeneous neural networks for sentiment analysis
By the development of social media, sentiment analysis has changed to one of the most
remarkable research topics in the field of natural language processing which tries to dig …
remarkable research topics in the field of natural language processing which tries to dig …
Cardiovascular disease diagnosis: a holistic approach using the integration of machine learning and deep learning models
Background The incidence and mortality rates of cardiovascular disease worldwide are a
major concern in the healthcare industry. Precise prediction of cardiovascular disease is …
major concern in the healthcare industry. Precise prediction of cardiovascular disease is …
ACNN-TL: attention-based convolutional neural network coupling with transfer learning and contextualized word representation for enhancing the performance of …
H Sadr, M Nazari Soleimandarabi - The Journal of Supercomputing, 2022 - Springer
Due to the rapid growth of textual information on the web, analyzing users' opinions about
particular products, events or services is now considered a crucial and challenging task that …
particular products, events or services is now considered a crucial and challenging task that …
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 …
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 …
sentiment and subjectivity within textual content. The advent of multimodal deep learning …
Roman Urdu sentiment analysis using transfer learning
Numerous studies have been conducted to meet the growing need for analytic tools capable
of processing increasing amounts of textual data available online, and sentiment analysis …
of processing increasing amounts of textual data available online, and sentiment analysis …
Convolutional neural network equipped with attention mechanism and transfer learning for enhancing performance of sentiment analysis
With the rapid development of textual information on the web, sentiment analysis is
changing to an essential analytic tool rather than an academic endeavor and numerous …
changing to an essential analytic tool rather than an academic endeavor and numerous …
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 …
the development of the Internet, online applications and in the following encrypted …
Structure and design of multimodal dataset for automatic regex synthesis methods in Roman Urdu
S Tariq, TA Rana - International Journal of Data Science and Analytics, 2024 - Springer
Automatic regex synthesis involves generation of regular expressions from user-written
natural language descriptions, example strings or both. Daily, countless regex generation …
natural language descriptions, example strings or both. Daily, countless regex generation …
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 …
stress levels. Emotion and stress classification have gained considerable attention in …