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Word Embedding as a Semantic Feature Extraction Technique in Arabic Natural Language Processing: An Overview

Ghizlane Bourahouat,Manar Abourezq,Najima Daoudi
#ANLP #feature extraction #word embedding #BERT #transformers

Word Embedding as a Semantic Feature Extraction Technique in Arabic Natural Language Processing: An Overview

Ghizlane Bourahouat,Manar Abourezq,Najima Daoudi
#ANLP #feature extraction #word embedding #BERT #transformers

A Deep Learning Approach for the Romanized Tunisian Dialect Identification

Jihene Younes1, Hadhemi Achour1, Emna Souissi2, and Ahmed Ferchichi1 1Université de Tunis, ISGT, Tunisia 2Université de Tunis, ENSIT, Tunisia
#Tunisian dialect # language identification # deep learning # BLSTM # CRF # natural language processing

Extracting Word Synonyms from Text using Neural

Approaches
#Neural networks # semantic similarity # word representations # natural language processing

Classification of Legislations using Deep Learning Sameerchand Pudaruth1, Sunjiv Soyjaudah2, and Rajendra Gunputh3 1ICT Department, University of Mauritius, Mauritius 2Soyjaudah Chambers, Mauritius 3Law Department, University of Mauritius, Mauritius

Abstract: Laws are often developed in a piecemeal approach and many provisions of similar nature are often found in
#Deep learning # neural networks # classification # legislations

Arabic Quran Verses Authentication Using Deep Learning and Word Embeddings

Zineb Touati-Hamad, Issam Bendib, Saqib Hakak
#Arabic text # Quranic verse # Authentication # NLP # Word Embeddings # Word2vec # DL # CNN # LSTM

Sentiment Analysis System using Hybrid Word Embeddings with Convolutional Recurrent Neural Network

Fahd Alotaibi,Vishal Gupta
#Analysis of sentiments #convolutional neural networks #part of speech tagging #natural language processing #word2Vec #GloVe #fastText #hybrid embedding #recurrent neural networks
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