{"product_id":"arabic-language-processing-from-theory-to-practice-9783031791635","title":"Arabic Language Processing From Theory to Practice","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Learning Arabic and dialectal and Sentiment Analysis.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Sentiment Analysis on Moroccan Dialect of Arabic combining NLP and ML methods.\u003c\/p\u003e\u003cp\u003e.- Enhancing Arabic Sentiment Analysis using Arabic LLMs.\u003c\/p\u003e\u003cp\u003e.- Sentiment analysis of texts written in Arabic: Addressing the issue of negation.\u003c\/p\u003e\u003cp\u003e.- Automatic Arabic Essays Scoring: A Scoping Review.\u003c\/p\u003e\u003cp\u003e.- Bridging the Emotional Gap: Google NL-AI Sentiment Analysis in Comparing Moroccan Literary Translations.\u003c\/p\u003e\u003cp\u003e.- HateTune: Tunisian Dialect Hate Speech Detection Dataset.\u003c\/p\u003e\u003cp\u003e.- DarijaGenie: Learning Moroccan Arabic Through a Multimodal Chatbot.\u003c\/p\u003e\u003cp\u003e.- Morpho-lexical based approach for Arabic WorldNet extension.\u003c\/p\u003e\u003cp\u003e.- A Hybrid Annotation Model for Arabic Argumentative Debate Corpus.\u003c\/p\u003e\u003cp\u003e.- Alkhalil Platform for Arabic Language Processing.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Advancements in Deep Learning for Arabic Language Processing : Generation, Translation, and QA.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Exploring semantic Hadith Overlap across Topics.\u003c\/p\u003e\u003cp\u003e.- Stance Detection in Arabic Dialects: Preliminary Experiments.\u003c\/p\u003e\u003cp\u003e.- MAGENTA: Generating and Detecting Arabic Machine-Generated Text in Multiple Domains.\u003c\/p\u003e\u003cp\u003e.- Transformers and Spark for Automated CV Classification in Arabophone regions.\u003c\/p\u003e\u003cp\u003e.- Fine-Tuning AraBART on AHS dataset for Arabic Abstractive Summarization.\u003c\/p\u003e\u003cp\u003e.- Qur'an Passage Ranking Using Transformer Models.\u003c\/p\u003e\u003cp\u003e.- Question Answering Over the Arabic Hadith Sharif Using Transformer Models.\u003c\/p\u003e\u003cp\u003e.- Deep Reinforcement Learning for Arabic Machine Translation: A Study on Reward Signals.\u003c\/p\u003e\u003cp\u003e.- ARAP-IRONY: a Multi-dialectal Arabic Irony Corpus for Irony Detection.\u003c\/p\u003e\u003cp\u003e.- Context-aware Arabic Diacritization using Transformers.\u003c\/p\u003e\u003cp\u003e.- Classifying Persuasion Modes in Arabic Debates: A Preliminary Language Model-based Analysis.\u003c\/p\u003e\u003cp\u003e.- Strengthening deep learning through morphological analysis for an Arabic Lemmatizer development.\u003c\/p\u003e\u003cp\u003e.- Enhancing Arabic Word Sense Disambiguation with Ensemble BERT-based Models.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195431051607,"sku":"9783031791635","price":59.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/arabic-language-processing-from-theory-to-practice-9783031791635","provider":"Book Curl","version":"1.0","type":"link"}