Natural language processing: state of the art, current trends and challenges
Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …
analyzing human language computationally. It has spread its applications in various fields …
Sentiment analysis of customer reviews of food delivery services using deep learning and explainable artificial intelligence: Systematic review
During the COVID-19 crisis, customers' preference in having food delivered to their doorstep
instead of waiting in a restaurant has propelled the growth of food delivery services (FDSs) …
instead of waiting in a restaurant has propelled the growth of food delivery services (FDSs) …
Data augmentation for deep learning-based radio modulation classification
Deep learning has recently been applied to automatically classify the modulation categories
of received radio signals without manual experience. However, training deep learning …
of received radio signals without manual experience. However, training deep learning …
Attention-based LSTM (AttLSTM) neural network for seismic response modeling of bridges
Accurate prediction of bridge responses plays an essential role in health monitoring and
safety assessment of bridges subjected to dynamic loads such as earthquakes. To this end …
safety assessment of bridges subjected to dynamic loads such as earthquakes. To this end …
[HTML][HTML] Detection of fake news using deep learning CNN–RNN based methods
Fake news is inaccurate information that is intentionally disseminated for a specific purpose.
If allowed to spread, fake news can harm the political and social spheres, so several studies …
If allowed to spread, fake news can harm the political and social spheres, so several studies …
Patient2vec: A personalized interpretable deep representation of the longitudinal electronic health record
The wide implementation of electronic health record (EHR) systems facilitates the collection
of large-scale health data from real clinical settings. Despite the significant increase in …
of large-scale health data from real clinical settings. Despite the significant increase in …
Evaluating feature combination strategies for hate-speech detection in spanish using linguistic features and transformers
The rise of social networks has allowed misogynistic, xenophobic, and homophobic people
to spread their hate-speech to intimidate individuals or groups because of their gender …
to spread their hate-speech to intimidate individuals or groups because of their gender …
From easy to hard: Learning language-guided curriculum for visual question answering on remote sensing data
Visual question answering (VQA) for remote sensing scene has great potential in intelligent
human–computer interaction system. Although VQA in computer vision has been widely …
human–computer interaction system. Although VQA in computer vision has been widely …
Deep learning algorithms for detecting fake news in online text
S Girgis, E Amer, M Gadallah - 2018 13th international …, 2018 - ieeexplore.ieee.org
Spreading of fake news is a social phenomenon that is pervasive at the social level between
individuals, and also through social media such as Facebook and Twitter. Fake news that …
individuals, and also through social media such as Facebook and Twitter. Fake news that …
Transformer models used for text-based question answering systems
The question answering system is frequently applied in the area of natural language
processing (NLP) because of the wide variety of applications. It consists of answering …
processing (NLP) because of the wide variety of applications. It consists of answering …