A comprehensive survey of arabic sentiment analysis
M Al-Ayyoub, AA Khamaiseh, Y Jararweh… - Information processing & …, 2019 - Elsevier
Sentiment analysis (SA) is a continuing field of research that lies at the intersection of many
fields such as data mining, natural language processing and machine learning. It is …
fields such as data mining, natural language processing and machine learning. It is …
Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities
The fields of machine learning and Web technologies have witnessed significant
development in the last years. This caused a ceaseless and rapid growth in sharing of the …
development in the last years. This caused a ceaseless and rapid growth in sharing of the …
CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
Abstract Background and Objective The Coronavirus 2019, or shortly COVID-19, is a viral
disease that causes serious pneumonia and impacts our different body parts from mild to …
disease that causes serious pneumonia and impacts our different body parts from mild to …
CNN-LSTM architecture for predictive indoor temperature modeling
Indoor temperature modeling is a crucial part towards efficient Heating, Ventilation and Air
Conditioning (HVAC) systems. Data-driven black-box approaches have been an attractive …
Conditioning (HVAC) systems. Data-driven black-box approaches have been an attractive …
[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 effective BERT-based pipeline for Twitter sentiment analysis: A case study in Italian
Over the last decade industrial and academic communities have increased their focus on
sentiment analysis techniques, especially applied to tweets. State-of-the-art results have …
sentiment analysis techniques, especially applied to tweets. State-of-the-art results have …
CNN-LSTM deep learning architecture for computer vision-based modal frequency detection
The conventional modal analysis involves physically-attached wired or wireless sensors for
vibration measurement of structures. However, this method has certain disadvantages …
vibration measurement of structures. However, this method has certain disadvantages …
Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks
Huge amounts of multimodal content and comments in a mixture form of text, image, and
emoji are continuously shared by users on various social networks. Most of the comments of …
emoji are continuously shared by users on various social networks. Most of the comments of …
Deep bidirectional LSTM network learning-based sentiment analysis for Arabic text
Sentiment analysis aims to predict sentiment polarities (positive, negative or neutral) of a
given piece of text. It lies at the intersection of many fields such as Natural Language …
given piece of text. It lies at the intersection of many fields such as Natural Language …
A comparative study of effective approaches for Arabic sentiment analysis
Sentiment analysis (SA) is a natural language processing (NLP) application that aims to
analyse and identify sentiment within a piece of text. Arabic SA started to receive more …
analyse and identify sentiment within a piece of text. Arabic SA started to receive more …