ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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The International Arab Journal of Information Technology
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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 Topic-Specific Web Crawler using Deep Convolutional Networks
Saed ALqaraleh,Hatice Meltem Nergız Sırın
#CNN
#natural language processing
#text classification
#topic specific crawler
#focused crawler
#web crawling
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
Conceptual Persian Text Summarizer: A New Model in Continuous Vector Space
Mohammad Ebrahim Khademi, Mohammad Fakhredanesh, and Seyed Mojtaba Hoseini
#Extractive Text Summarization
# Unsupervised Learning
# Language Independent Summarization
# Continuous Vector Space
# Word Embedding
# 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
Semantic Similarity Analysis for Corpus Development and Paraphrase Detection in Arabic
Adnen Mahmoud1,2, and Mounir Zrigui1
#Arabic language processing
# word2vec
# part-of-speech annotation
# paraphrasing
# semantic analysis
# recurrent convolutional neural networks
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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