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Found 15 papers, 1 papers with code
Sarcasm and Sentiment Detection In Arabic Tweets Using BERT-based Models and Data Augmentation
In this paper, we describe our efforts on the shared task of sarcasm and sentiment detection in Arabic (Abu Farha et al., 2021).
Hate Speech Detection in Saudi Twittersphere: A Deep Learning Approach
To conduct our experiments, we firstly built a new hate speech dataset that contains 9, 316 annotated tweets.
Sa‘7r: A Saudi Dialect Irony Dataset
Thus, the AraBERT model achieved the most accurate result in detecting irony phrases in Saudi Dialect.
Overview of OSACT5 Shared Task on Arabic Offensive Language and Hate Speech Detection
This paper provides an overview of the shard task on detecting offensive language, hate speech, and fine-grained hate speech at the fifth workshop on Open-Source Arabic Corpora and Processing Tools (OSACT5).
Towards Designing a ChatGPT Conversational Companion for Elderly People
The system is designed to provide companionship and help reduce feelings of loneliness and social isolation.
The Saudi Privacy Policy Dataset
This paper introduces the Saudi Privacy Policy Dataset, a diverse compilation of Arabic privacy policies from various sectors in Saudi Arabia, annotated according to the 10 principles of the Personal Data Protection Law (PDPL); the PDPL was established to be compatible with General Data Protection Regulation (GDPR); one of the most comprehensive data regulations worldwide.
Natural Language Processing in Customer Service: A Systematic Review
The goal of this systematic review is to examine existing research on the use of NLP technology in customer service, including the research domain, applications, datasets used, and evaluation methods.
Handwritten Arabic Character Recognition for Children Writ-ing Using Convolutional Neural Network and Stroke Identification
In this paper we propose a convolutional neural network (CNN) model that recognizes children handwriting with an accuracy of 91% on the Hijja dataset, a recent dataset built by collecting images of the Arabic characters written by children, and 97% on Arabic Handwritten Character Dataset.
A Panoramic Survey of Natural Language Processing in the Arab World
The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design.
Overview of OSACT4 Arabic Offensive Language Detection Shared Task
This paper provides an overview of the offensive language detection shared task at the 4th workshop on Open-Source Arabic Corpora and Processing Tools (OSACT4).
Sentiment Analysis of Arabic Tweets: Feature Engineering and A Hybrid Approach
Then a hybrid method that combines a corpus-based and lexicon-based method was developed for several classification models (two-way, three-way, four-way).
MADAD: A Readability Annotation Tool for Arabic Text
This paper introduces MADAD, a general-purpose annotation tool for Arabic text with focus on readability annotation.
