[HTML][HTML] Arabic natural language processing: An overview

I Guellil, H Saâdane, F Azouaou, B Gueni… - Journal of King Saud …, 2021 - Elsevier
Arabic is recognised as the 4th most used language of the Internet. Arabic has three main
varieties:(1) classical Arabic (CA),(2) Modern Standard Arabic (MSA),(3) Arabic Dialect (AD) …

Arabic sentiment analysis: A systematic literature review

A Ghallab, A Mohsen, Y Ali - … Computational Intelligence and …, 2020 - Wiley Online Library
With the recently grown attention from different research communities for opinion mining,
there is an evolving body of work on Arabic Sentiment Analysis (ASA). This paper introduces …

Automated text analysis for consumer research

A Humphreys, RJH Wang - Journal of Consumer Research, 2018 - academic.oup.com
The amount of digital text available for analysis by consumer researchers has risen
dramatically. Consumer discussions on the internet, product reviews, and digital archives of …

Symlm: Predicting function names in stripped binaries via context-sensitive execution-aware code embeddings

X **, K Pei, JY Won, Z Lin - Proceedings of the 2022 ACM SIGSAC …, 2022 - dl.acm.org
Predicting function names in stripped binaries is an extremely useful but challenging task, as
it requires summarizing the execution behavior and semantics of the function in human …

[PDF][PDF] A survey of text mining in social media: Facebook and Twitter perspectives

SA Salloum, M Al-Emran, AA Monem… - Advances in Science …, 2017 - umpir.ump.edu.my
Text mining has become one of the trendy fields that has been incorporated in several
research fields such as computational linguistics, Information Retrieval (IR) and data mining …

A sentiment analysis approach to predict an individual's awareness of the precautionary procedures to prevent COVID-19 outbreaks in Saudi Arabia

SS Aljameel, DA Alabbad, NA Alzahrani… - International journal of …, 2021 - mdpi.com
In March 2020, the World Health Organization (WHO) declared the outbreak of Coronavirus
disease 2019 (COVID-19) as a pandemic, which affected all countries worldwide. During the …

Arabic sentiment analysis: Lexicon-based and corpus-based

NA Abdulla, NA Ahmed, MA Shehab… - 2013 IEEE Jordan …, 2013 - ieeexplore.ieee.org
The emergence of the Web 2.0 technology generated a massive amount of raw data by
enabling Internet users to post their opinions, reviews, comments on the web. Processing …

Deep learning for Arabic NLP: A survey

M Al-Ayyoub, A Nuseir, K Alsmearat, Y Jararweh… - Journal of computational …, 2018 - Elsevier
The recent advances in deep learning (DL) have caused breakthroughs in many fields such
as computer vision, natural language processing (NLP) and speech processing. Many DL …

[HTML][HTML] Firefly algorithm based feature selection for Arabic text classification

SL Marie-Sainte, N Alalyani - Journal of King Saud University-Computer …, 2020 - Elsevier
Due to the large number of documents available in the internet, emails and digital libraries,
document classification is becoming a crucial task extremely required. It is commonly …

A survey of arabic named entity recognition and classification

K Shaalan - Computational Linguistics, 2014 - direct.mit.edu
As more and more Arabic textual information becomes available through the Web in homes
and businesses, via Internet and Intranet services, there is an urgent need for technologies …