Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach
Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …
consuming. Researchers use sentiment analysis via natural language processing …
An End‐to‐End Cardiac Arrhythmia Recognition Method with an Effective DenseNet Model on Imbalanced Datasets Using ECG Signal
Electrocardiography (ECG) is a well‐known noninvasive technique in medical science that
provides information about the heart's rhythm and current conditions. Automatic ECG …
provides information about the heart's rhythm and current conditions. Automatic ECG …
Arabic document classification: performance investigation of preprocessing and representation techniques
With the increasing number of online social posts, review comments, and digital
documentations, the Arabic text classification (ATC) task has been hugely required for many …
documentations, the Arabic text classification (ATC) task has been hugely required for many …
Evolution and evaluation: Sarcasm analysis for twitter data using sentiment analysis
M Bhakuni, K Kumar, Sonia, C Iwendi… - Journal of …, 2022 - Wiley Online Library
This paper addresses the evolution and evaluation of sarcasm in textual form. The growing
popularity of social networking sites is well known, and every individual generates a whole …
popularity of social networking sites is well known, and every individual generates a whole …
[HTML][HTML] An effective approach for Arabic document classification using machine learning
AY Muaad, GH Kumar, J Hanumanthappa… - Global Transitions …, 2022 - Elsevier
Arabic text classification is one application of Natural Language Processing (NLP). It has
been used to analyze and categorize Arabic text. Analyzing text has become an essential …
been used to analyze and categorize Arabic text. Analyzing text has become an essential …
[HTML][HTML] A robust classification approach to enhance clinic identification from Arabic health text
Text classification has critical applications, including healthcare, where it can assist patients
in locating specialized clinics based on their symptom descriptions. This can enhance …
in locating specialized clinics based on their symptom descriptions. This can enhance …
Detection and classification of sunspots via deep convolutional neural network
C Chola, JVB Benifa - Global Transitions Proceedings, 2022 - Elsevier
Sunspots are known to be the most prominent feature of the solar photosphere. Solar
activities play a vital role in Space weather which greatly affects the Earth's environment …
activities play a vital role in Space weather which greatly affects the Earth's environment …
An optimized Arabic multilabel text classification approach using genetic algorithm and ensemble learning
Multilabel classification of Arabic text is an important task for understanding and analyzing
social media content. It can enable the categorization and monitoring of social media posts …
social media content. It can enable the categorization and monitoring of social media posts …
[HTML][HTML] A systematic literature review of hate speech identification on Arabic Twitter data: research challenges and future directions
The automatic speech identification in Arabic tweets has generated substantial attention
among academics in the fields of text mining and natural language processing (NLP). The …
among academics in the fields of text mining and natural language processing (NLP). The …
Exploring sentiment polarity of p2p guests through online user reviews: A multimodal fuzzy approach
EL Bonny, D Liang - IEEE Transactions on Engineering …, 2023 - ieeexplore.ieee.org
The popularity of peer-to-peer (P2P) housing services has increased the demand for
understanding guests' emotional experiences and sentiments towards these services. This …
understanding guests' emotional experiences and sentiments towards these services. This …