Jun 19, 2023 · Second, a novel CM_BiLSTM deep learning model called Convolutional Max Pooling and Bidirectional LSTM is presented to enhance Arabic sentiment ...

Sentiment Analysis. Chapter. A Novel Hybrid Model Based on CNN and Bi-LSTM for Arabic Multi-domain Sentiment Analysis. June 2023. June 2023. DOI:10.1007/978-3 ...

In this paper, we investigate the benefits of integrating CNNs and LSTMs and report obtained improved accuracy for Arabic sentiment analysis on different ...

Mar 3, 2024 · The researchers in Reference 26 introduced a hybrid CNN-LSTM model that uses word2vec embeddings. The researchers employed many Arabic sentiment ...

In [5]; the authors proposed a hybrid model (Bi-LSTM ... This model consists of one layer CNN, two layers LSTM ... Cross-validation of the BiLSTM + GRU + AraBERT ...

A dual channel sentiment classification model based on grammar rules and multi ... Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Arabic ...

Mariem Abbes, Zied Kechaou, Adel M. Alimi: A Novel Hybrid Model Based on CNN and Bi-LSTM for Arabic Multi-domain Sentiment Analysis. CISIS 2023: 92-102.

In [8], the authors proposed a hybrid LSTM-RNN model based on LSTM and RNN to analyze Arabic sentiment. They studied the effect of using different pre-trained ...

Mar 14, 2024 · This research introduces a novel approach of employing a Hybrid CNN-BiLSTM model, which integrates distinct feature extraction techniques and ...

Advancing aspect-based sentiment analysis with a novel architecture combining deep learning models CNN and bi-RNN with the machine learning model SVM.