Detecting malicious URLs using machine learning techniques: review and research directions

M Aljabri, HS Altamimi, SA Albelali, M Al-Harbi… - IEEE …, 2022 - ieeexplore.ieee.org
In recent years, the digital world has advanced significantly, particularly on the Internet,
which is critical given that many of our activities are now conducted online. As a result of …

[HTML][HTML] Sentiment analysis in Arabic: A review of the literature

N Boudad, R Faizi, ROH Thami, R Chiheb - Ain Shams Engineering …, 2018 - Elsevier
Within the last couple of years, Sentiment Analysis in Arabic has gained a considerable
interest from the research community. In this respect, the objective of this paper is to provide …

A survey on author profiling, deception, and irony detection for the Arabic language

P Rosso, F Rangel, IH Farías, L Cagnina… - Language and …, 2018 - Wiley Online Library
The possibility of knowing people traits on the basis of what they write is a field of growing
interest named author profiling. To infer a user's gender, age, native language, language …

Feature selection by multiobjective optimization: Application to spam detection system by neural networks and grasshopper optimization algorithm

SAA Ghaleb, M Mohamad, WAHM Ghanem… - IEEE …, 2022 - ieeexplore.ieee.org
Networks are strained by spam, which also overloads email servers and blocks mailboxes
with unwanted messages and files. Setting the protective level for spam filtering might …

A machine learning based web spam filtering approach

S Kumar, X Gao, I Welch… - 2016 IEEE 30th …, 2016 - ieeexplore.ieee.org
Web spam has the effect of polluting search engine results and decreasing the usefulness of
search engines. Web spam can be classified according to the methods used to raise the …

Training neural networks by enhance grasshopper optimization algorithm for spam detection system

SAA Ghaleb, M Mohamad, SA Fadzli… - IEEE …, 2021 - ieeexplore.ieee.org
A significant negative impact of spam e-mail is not limited only to the serious waste of
resources, time, and efforts, but also increases communications overload and cybercrime …

Detecting Arabic spam reviews in social networks based on classification algorithms

H Najadat, MA Alzubaidi, I Qarqaz - Transactions on Asian and Low …, 2021 - dl.acm.org
Reviews or comments that users leave on social media have great importance for
companies and business entities. New product ideas can be evaluated based on customer …

Secure real-time computational intelligence system against malicious QR code links

HAM Wahsheh, MS Al-Zahrani - International Journal of Computers …, 2021 - univagora.ro
Web attackers aim to propagate malicious links using various techniques to deceive users.
They attempt to control victims' devices or obtain their passwords remotely, thereby …

Detecting deceptive opinions: Intra and cross-domain classification using an efficient representation

LC Cagnina, P Rosso - International Journal of Uncertainty …, 2017 - World Scientific
Online opinions play an important role for customers and companies because of the
increasing use they do to make purchase and business decisions. A consequence of that is …

[PDF][PDF] Sentiment analysis of Twitter data for Saudi universities

M Alruily, OR Shahin - … Journal of Machine Learning and Computing, 2020 - academia.edu
With the tremendous increase in web technologies, many people are conveying and
expressing their feelings through social media. These data collections, called big data, can …