[HTML][HTML] A comprehensive review on ensemble deep learning: Opportunities and challenges
A Mohammed, R Kora - Journal of King Saud University-Computer and …, 2023 - Elsevier
In machine learning, two approaches outperform traditional algorithms: ensemble learning
and deep learning. The former refers to methods that integrate multiple base models in the …
and deep learning. The former refers to methods that integrate multiple base models in the …
Systematic reviews in sentiment analysis: a tertiary study
A Ligthart, C Catal, B Tekinerdogan - Artificial intelligence review, 2021 - Springer
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
[HTML][HTML] SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization
A Onan - Journal of King Saud University-Computer and …, 2023 - Elsevier
The process of creating high-quality labeled data is crucial for training machine-learning
models, but it can be a time-consuming and labor-intensive process. Moreover, manual …
models, but it can be a time-consuming and labor-intensive process. Moreover, manual …
[HTML][HTML] An effective ensemble deep learning framework for text classification
A Mohammed, R Kora - Journal of King Saud University-Computer and …, 2022 - Elsevier
Over the last decade Deep learning-based models surpasses classical machine learning
models in a variety of text classification tasks. The primary challenge with text classification …
models in a variety of text classification tasks. The primary challenge with text classification …
An enhanced approach for sentiment analysis based on meta-ensemble deep learning
R Kora, A Mohammed - Social Network Analysis and Mining, 2023 - Springer
Sentiment analysis, commonly known as “opinion mining,” aims to identify sentiment
polarities in opinion texts. Recent years have seen a significant increase in the acceptance …
polarities in opinion texts. Recent years have seen a significant increase in the acceptance …
Comparison of deep learning models and various text pre-processing techniques for the toxic comments classification
The emergence of anti-social behaviour in online environments presents a serious issue in
today's society. Automatic detection and identification of such behaviour are becoming …
today's society. Automatic detection and identification of such behaviour are becoming …
[HTML][HTML] AlexNet architecture based convolutional neural network for toxic comments classification
I Singh, G Goyal, A Chandel - Journal of King Saud University-Computer …, 2022 - Elsevier
Today online networking has become an indispensable part of life for people all over the
world. It is difficult for users to reduce their internet/online communications, as the flow of …
world. It is difficult for users to reduce their internet/online communications, as the flow of …
Special issue on ensemble learning and applications
P Pintelas, IE Livieris - Algorithms, 2020 - mdpi.com
During the last decades, in the area of machine learning and data mining, the development
of ensemble methods has gained a significant attention from the scientific community …
of ensemble methods has gained a significant attention from the scientific community …
Personal identification using an ensemble approach of 1D-LSTM and 2D-CNN with electrocardiogram signals
Conventional personal identification methods (ID, password, authorization certificate, etc.)
entail various issues, including forgery or loss. Technological advances and the diffusion …
entail various issues, including forgery or loss. Technological advances and the diffusion …
Text data augmentations: Permutation, antonyms and negation
G Haralabopoulos, MT Torres… - Expert Systems with …, 2021 - Elsevier
Text has traditionally been used to train automated classifiers for a multitude of purposes,
such as: classification, topic modelling and sentiment analysis. State-of-the-art LSTM …
such as: classification, topic modelling and sentiment analysis. State-of-the-art LSTM …