Arabic sentiment analysis of users' opinions of governmental mobile applications
Different types of pandemics that have appeared from time to time have changed many
aspects of daily life. Some governments encourage their citizens to use certain applications …
aspects of daily life. Some governments encourage their citizens to use certain applications …
An aggregated mutual information based feature selection with machine learning methods for enhancing IoT botnet attack detection
Due to the wide availability and usage of connected devices in Internet of Things (IoT)
networks, the number of attacks on these networks is continually increasing. A particularly …
networks, the number of attacks on these networks is continually increasing. A particularly …
An improved sentiment classification approach for measuring user satisfaction toward governmental services' mobile apps using machine learning methods with …
Analyzing the sentiment of Arabic texts is still a big research challenge due to the special
characteristics and complexity of the Arabic language. Few studies have been conducted on …
characteristics and complexity of the Arabic language. Few studies have been conducted on …
Detection of Web Cross-Site Scripting (XSS) Attacks
Most applications looking for XSS vulnerabilities have a variety of weaknesses related to the
nature of constructing internet applications. Existing XSS vulnerability packages solely scan …
nature of constructing internet applications. Existing XSS vulnerability packages solely scan …
[HTML][HTML] Application of machine learning for improved surface quality classification in ultra-precision machining of germanium
NE Sizemore, ML Nogueira, NP Greis… - Journal of Manufacturing …, 2022 - Elsevier
Ultra-precision machining is the primary process for producing optics for infrared systems
including those for thermal imaging, night vision, and other applications. Materials used in …
including those for thermal imaging, night vision, and other applications. Materials used in …
CA-CD: context-aware clickbait detection using new Chinese clickbait dataset with transfer learning method
Purpose A clickbait is a deceptive headline designed to boost ad revenue without
presenting closely relevant content. There are numerous negative repercussions of clickbait …
presenting closely relevant content. There are numerous negative repercussions of clickbait …
Non-Alpha-Num: a novel architecture for generating adversarial examples for bypassing NLP-based clickbait detection mechanisms
The vast majority of online media rely heavily on the revenues generated by their readers'
views, and due to the abundance of such outlets, they must compete for reader attention. It is …
views, and due to the abundance of such outlets, they must compete for reader attention. It is …
A deep learning framework for clickbait spoiler generation and type identification
Clickbait pertains to attention-grabbing or misleading content that sacrifices accuracy for
clicks. This marketing tactic is widely used to drive online traffic, but it can lead to …
clicks. This marketing tactic is widely used to drive online traffic, but it can lead to …
Identification of clickbait news articles using SBERT and correlation matrix
Clickbait refers to the practice of using attention-grabbing or misleading headlines to attract
readers to click on particular headlines or pieces of content. This technique often involves …
readers to click on particular headlines or pieces of content. This technique often involves …
Clickbait detection in Hebrew
T Natanya, C Liebeskind - Lodz Papers in Pragmatics, 2023 - degruyter.com
The prevalence of sensationalized headlines and deceptive narratives in online content has
prompted the need for effective clickbait detection methods. This study delves into the …
prompted the need for effective clickbait detection methods. This study delves into the …