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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Analysis of QA System Behavior against Context and Question Changes
Rachid Karra,Abdelali Lasfar
#Adversarial attacks
#BERT
#data quality
#question answering
#simplification
Optimizing Machine Learning-based Sentiment Analysis Accuracy in Bilingual Sentences via Preprocessing Techniques
Mohammed Maree,Mujahed Eleyat,Enas Mesqali
#Machine learning
#bilingual sentiment analysis
#NLP
#sentiment datasets
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
Analysis of QA System Behavior against Context and Question Changes
Rachid Karra,Abdelali Lasfar
#Adversarial attacks
#BERT
#data quality
#question answering
#simplification
Optimizing Machine Learning-based Sentiment Analysis Accuracy in Bilingual Sentences via Preprocessing Techniques
Mohammed Maree,Mujahed Eleyat,Enas Mesqali
#Machine learning
#bilingual sentiment analysis
#NLP
#sentiment datasets
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
Simultaneously Identifying Opinion Targets and Opinion-bearing Words Based on Multi-Features in Chinese Micro-Blog Texts
Quanchao Liu,Heyan Huang,Chong Feng
#Opinion mining
#opinion target identification
#micro-blog
#feature-opinion pairs
#sentiment polarity
Induction of Co-existing Items Available in Distributed Version Control Systems for Software Development
Sibel Özyer
#Version control systems
#requirement analysis
#co-occurrence analysis
#natural language processing
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
Exploring the Performance of Farasa and CAMeL Taggers for Arabic Dialect Tweets
Aseel Alfaidi,Hajer Alwadei,Areej Alshutayri,Shahd Alahdal
#Dialect arabic tweets
#POS
#POS tagging
#MSA tagger
#farasa tagger
#CAMeL tagger
Exploring the Potential of Schemes in Building NLP
LaTICE Laboratory, Faculty of Sciences of Monastir, Tunisia
#
Yassine Benajiba2, Mona Diab2, and Paolo Rosso1 1Natural Language Engineering Laboratory, ELiRF, Uni versidad Politécnica Valencia, Spain
#Arabic natural language processing
# classification
# information extraction
# named entity recognition
A New Approach for Arabic Named Entity Recognition
Abstract: A Named Entity Recognition (NER) plays a noteworthy role in Natural Language Processing (NLP) research, since
#Arabic NE
# machine learning
# web document
# information retrieval
# information extraction
Development of a Hindi Named Entity Recognition System without Using Manually Annotated
Abstract: Machine learning based approach for Named Entity Recognition (NER) requires sufficient annotated corpus to
#Natural language processing
# machine learning
# named entity recognition
# resource scarcity
# language transfer
# semi-supervised learning
Toward a New Arabic Question Answering System Imane Lahbari, Said El Alaoui, and Khalid Zidani
language. In this paper, we describe our question processing and document retrieval as two components of Arabic QAS. First,
#Natural language processing
# Arabic question answering system
# question classification
# taxonomy
# machine learning approach
# SVM
# decision-tree
# naive bayes
# POS tagging
# query expansion
# AWN
A Machine Learning System for Distinguishing Nominal and Verbal Arabic Sentences
structures than other languages. Thus, it is important to learn about the specialty and the structure of this language to deal
#Arabic language processing; natural language processing; inductive learning
# ILA
Opinion within Opinion: Segmentation Approach
Department of Computer Science and Engineering, University of Engineering and Technology, Pakistan
#Sentiment analysis
# urdu natural language processing
# social media mining
# urdu discourse analysis
Rytis Maskeliunas and Vidas Raudonis
#Human computer interaction
# information interfaces and representation
# user interfaces
# image processing and computer vision
# natural language processing
# a lgorithms and applications
Sentiment Analysis with Term Weighting and Word Vectors
Metin Bilgin1 and Haldun Köktaş2
#Word2vec
# Doc2vec
# sentiment analysis
# machine learning
# natural language processing
The Impact of Natural Language Preprocessing on Big Data Sentiment Analysis
Mariam Khader, Arafat Awajan, and Ghazi Al-Naymat
#Big data
# natural language processing
# MapReduce framework
# Naïve Bayes and sentiment analysis
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