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Enhancing Moroccan Dialect Sentiment Analysis through Optimized Preprocessing and transfer learning Techniques
This work investigates the challenges of sentiment analysis for Moroccan Arabic dialect
(MD), where the lack of dialect-specific preprocessing methods complicates natural …
(MD), where the lack of dialect-specific preprocessing methods complicates natural …
Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework …
In this study, the authors present a novel methodology adept at decoding multilingual topic
dynamics and identifying communication trends during crises. We focus on dialogues within …
dynamics and identifying communication trends during crises. We focus on dialogues within …
A Synergistic Bidirectional LSTM and N-gram Multi-channel CNN Approach Based on BERT and FastText for Arabic Event Identification
Event extraction from texts continues to pose a challenge for many NLP systems. This article
presents a novel neural network architecture that can extract and classify events from Arabic …
presents a novel neural network architecture that can extract and classify events from Arabic …
Exploring Unsupervised Word Representations Models and Neural Networks for Informal Multilingual Text Against Covid-19 Social Media Content
The Covid-19 pandemic has catalyzed a marked upsurge in multilingual social media
communication, distinctly marked by the fusion of dialectical Arabic with code-switched Latin …
communication, distinctly marked by the fusion of dialectical Arabic with code-switched Latin …
Building the ArabNER Corpus for Arabic Named Entity Recognition Using ChatGPT and Bard
The ArabNER corpus marks a significant advancement in the field of Arabic Named Entity
Recognition (NER) due to its novel methodology that combines the capabilities of ChatGPT …
Recognition (NER) due to its novel methodology that combines the capabilities of ChatGPT …
Object detection in low light environments
Object detection in low-illumination environments has received limited attention compared to
the vast research conducted on object detection under normal illumination. In this paper, we …
the vast research conducted on object detection under normal illumination. In this paper, we …
Analyzing Multilingual Conversations During COVID-19: An Imbalanced Class-Ensemble Learning Approach with Reweighted AdaBoost-SVM for Code-Switched Text …
This study confronts the challenge of analyzing multilingual, code-switched conversations
during the COVID-19 pandemic, a context where traditional classifiers often fall short. We …
during the COVID-19 pandemic, a context where traditional classifiers often fall short. We …
BERT embedding model for arabic temporal relation classification using hybrid deep learning architectures and linguistic features
This paper introduces a novel neural network architecture for classifying temporal
relationships among events in Arabic sentences. Our model integrates a deep learning …
relationships among events in Arabic sentences. Our model integrates a deep learning …