Description
Book Synopsis.- Learning Arabic and dialectal and Sentiment Analysis.
.- Sentiment Analysis on Moroccan Dialect of Arabic combining NLP and ML methods.
.- Enhancing Arabic Sentiment Analysis using Arabic LLMs.
.- Sentiment analysis of texts written in Arabic: Addressing the issue of negation.
.- Automatic Arabic Essays Scoring: A Scoping Review.
.- Bridging the Emotional Gap: Google NL-AI Sentiment Analysis in Comparing Moroccan Literary Translations.
.- HateTune: Tunisian Dialect Hate Speech Detection Dataset.
.- DarijaGenie: Learning Moroccan Arabic Through a Multimodal Chatbot.
.- Morpho-lexical based approach for Arabic WorldNet extension.
.- A Hybrid Annotation Model for Arabic Argumentative Debate Corpus.
.- Alkhalil Platform for Arabic Language Processing.
.- Advancements in Deep Learning for Arabic Language Processing : Generation, Translation, and QA.
.- Exploring semantic Hadith Overlap across Topics.
.- Stance Detection in Arabic Dialects: Preliminary Experiments.
.- MAGENTA: Generating and Detecting Arabic Machine-Generated Text in Multiple Domains.
.- Transformers and Spark for Automated CV Classification in Arabophone regions.
.- Fine-Tuning AraBART on AHS dataset for Arabic Abstractive Summarization.
.- Qur'an Passage Ranking Using Transformer Models.
.- Question Answering Over the Arabic Hadith Sharif Using Transformer Models.
.- Deep Reinforcement Learning for Arabic Machine Translation: A Study on Reward Signals.
.- ARAP-IRONY: a Multi-dialectal Arabic Irony Corpus for Irony Detection.
.- Context-aware Arabic Diacritization using Transformers.
.- Classifying Persuasion Modes in Arabic Debates: A Preliminary Language Model-based Analysis.
.- Strengthening deep learning through morphological analysis for an Arabic Lemmatizer development.
.- Enhancing Arabic Word Sense Disambiguation with Ensemble BERT-based Models.
