[HTML][HTML] Leveraging Arabic sentiment classification using an enhanced CNN-LSTM approach and effective Arabic text preparation
The high variety in the forms of the Arabic words creates significant complexity related
challenges in Natural Language Processing (NLP) tasks for Arabic text. These challenges …
challenges in Natural Language Processing (NLP) tasks for Arabic text. These challenges …
A BiLSTM-CNN model for predicting users' next locations based on geotagged social media
Location prediction based on spatio-temporal footprints in social media is instrumental to
various applications, such as travel behavior studies, crowd detection, traffic control, and …
various applications, such as travel behavior studies, crowd detection, traffic control, and …
[HTML][HTML] Multivariate time-series classification of critical events from industrial drying hopper operations: A deep learning approach
In recent years, the advancement of Industry 4.0 and smart manufacturing has made a large
amount of industrial process data attainable with the use of sensors installed on machines …
amount of industrial process data attainable with the use of sensors installed on machines …
Sentiment analysis of Marathi news using LSTM
MS Divate - International journal of Information technology, 2021 - Springer
Sentiment analysis of online contents related to e-news, product, services etc., become very
important in this digital era in order to improve the quality of the service provided. The …
important in this digital era in order to improve the quality of the service provided. The …
Multitask learning for estimating multitype cardiac indices in MRI and CT based on adversarial reverse mapping
The estimation of multitype cardiac indices from cardiac magnetic resonance imaging (MRI)
and computed tomography (CT) images attracts great attention because of its clinical …
and computed tomography (CT) images attracts great attention because of its clinical …
[HTML][HTML] ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis
Abstract Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) have
been successfully applied to Natural Language Processing (NLP), especially in sentiment …
been successfully applied to Natural Language Processing (NLP), especially in sentiment …
[HTML][HTML] Active learning for Arabic sentiment analysis
Sentiment analysis becomes an essential part of every social network, as it enables decision-
makers to know more about users' opinions. Arabic sentiment analysis has a small number …
makers to know more about users' opinions. Arabic sentiment analysis has a small number …
[HTML][HTML] A comparative analysis on question classification task based on deep learning approaches
M Zulqarnain, AKZ Alsaedi, R Ghazali… - PeerJ Computer …, 2021 - peerj.com
Question classification is one of the essential tasks for automatic question answering
implementation in natural language processing (NLP). Recently, there have been several …
implementation in natural language processing (NLP). Recently, there have been several …
Joint learning with BERT-GCN and multi-attention for event text classification and event assignment
X She, J Chen, G Chen - IEEE Access, 2022 - ieeexplore.ieee.org
Government hotline is closely related to people's lives and plays an important role in solving
social problems and maintaining social stability in China. However, the event text of the …
social problems and maintaining social stability in China. However, the event text of the …
A Bayesian CNN-LSTM model for sentiment analysis in massive open online courses MOOCs
Abstract Massive Open Online Courses (MOOCs) are increasingly used by learn-ers to
acquire knowledge and develop new skills. MOOCs provide a trove of data that can be …
acquire knowledge and develop new skills. MOOCs provide a trove of data that can be …