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 …
A robust sentiment analysis method based on sequential combination of convolutional and recursive neural networks
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 …
information containing users' feeling, emotions and opinions has been generated and is …
Exploiting deep learning for Persian sentiment analysis
The rise of social media is enabling people to freely express their opinions about products
and services. The aim of sentiment analysis is to automatically determine subject's sentiment …
and services. The aim of sentiment analysis is to automatically determine subject's sentiment …
[HTML][HTML] Improving sentiment analysis for social media applications using an ensemble deep learning language model
A Alsayat - Arabian Journal for Science and Engineering, 2022 - Springer
As data grow rapidly on social media by users' contributions, specially with the recent
coronavirus pandemic, the need to acquire knowledge of their behaviors is in high demand …
coronavirus pandemic, the need to acquire knowledge of their behaviors is in high demand …
Sentiment analysis using deep learning approaches: an overview
Nowadays, with the increasing number of Web 2.0 tools, users generate huge amounts of
data in an enormous and dynamic way. In this regard, the sentiment analysis appeared to be …
data in an enormous and dynamic way. In this regard, the sentiment analysis appeared to be …
Recurrent neural network with pooling operation and attention mechanism for sentiment analysis: A multi-task learning approach
Sentiment analysis is designed to classify documents into a fixed number of pre-defined
categories that represent different sentiments. Focusing on the limitation of insufficient …
categories that represent different sentiments. Focusing on the limitation of insufficient …
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 …
Sentiment analysis with ensemble hybrid deep learning model
The rapid development of mobile technologies has made social media a vital platform for
people to express their feelings and opinions. Understanding the public opinions can be …
people to express their feelings and opinions. Understanding the public opinions can be …
Arabic sentiment analysis using deep learning and ensemble methods
A Alharbi, M Kalkatawi, M Taileb - Arabian Journal for Science and …, 2021 - Springer
With the outbreak of social networks, blogs, and forums, classifying subjective text
influenced by personal feelings and opinions has become an interesting research area …
influenced by personal feelings and opinions has become an interesting research area …
Attention-based sentiment analysis using convolutional and recurrent neural network
M Usama, B Ahmad, E Song, MS Hossain… - Future Generation …, 2020 - Elsevier
Convolution and recurrent neural network have obtained remarkable performance in natural
language processing (NLP). Moreover, from the attention mechanism perspective …
language processing (NLP). Moreover, from the attention mechanism perspective …