A comprehensive survey of arabic sentiment analysis
M Al-Ayyoub, AA Khamaiseh, Y Jararweh… - Information processing & …, 2019 - Elsevier
Sentiment analysis (SA) is a continuing field of research that lies at the intersection of many
fields such as data mining, natural language processing and machine learning. It is …
fields such as data mining, natural language processing and machine learning. It is …
A survey of opinion mining in Arabic: A comprehensive system perspective covering challenges and advances in tools, resources, models, applications, and …
Opinion-mining or sentiment analysis continues to gain interest in industry and academics.
While there has been significant progress in developing models for sentiment analysis, the …
While there has been significant progress in developing models for sentiment analysis, the …
[HTML][HTML] Psychographic traits identification based on political ideology: An author analysis study on spanish politicians' tweets posted in 2020
JA García-Díaz, R Colomo-Palacios… - Future Generation …, 2022 - Elsevier
In general, people are usually more reluctant to follow advice and directions from politicians
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …
Phishing web site detection using diverse machine learning algorithms
Purpose This paper aims to present a framework to detect phishing websites using stacking
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …
[HTML][HTML] Detecting abusive comments at a fine-grained level in a low-resource language
BR Chakravarthi, R Priyadharshini, S Banerjee… - Natural Language …, 2023 - Elsevier
YouTube is a video-sharing and social media platform where users create profiles and
share videos for their followers to view, like, and comment on. Abusive comments on videos …
share videos for their followers to view, like, and comment on. Abusive comments on videos …
Simultaneous calibration and tracking with a network of non-overlapping sensors
We describe a method for simultaneously recovering the trajectory of a target and the
external calibration parameters of non-overlapping cameras in a multi-camera system. Each …
external calibration parameters of non-overlapping cameras in a multi-camera system. Each …
A multi-criteria approach for arabic dialect sentiment analysis for online reviews: Exploiting optimal machine learning algorithm selection
A sentiment analysis of Arabic texts is an important task in many commercial applications
such as Twitter. This study introduces a multi-criteria method to empirically assess and rank …
such as Twitter. This study introduces a multi-criteria method to empirically assess and rank …
An intelligent system for blood donation process optimization-smart techniques for minimizing blood wastages
Blood transfusion is a continuous demand, as it is widely required for many medical
surgeries and critical operations. Therefore, there is a need to manage the whole process of …
surgeries and critical operations. Therefore, there is a need to manage the whole process of …
Cyber-bullying and cyber-harassment detection using supervised machine learning techniques in Arabic social media contents
T Kanan, A Aldaaja, B Hawashin - Journal of Internet Technology, 2020 - jit.ndhu.edu.tw
The social media has provided users with the chance to publish their written and multimedia
content and express feelings and emotions about particular subjects via the internet …
content and express feelings and emotions about particular subjects via the internet …
[HTML][HTML] Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations
R Obeidat, M Gharaibeh, M Abdullah… - PeerJ Computer …, 2022 - peerj.com
Since the inception of the current COVID-19 pandemic, related misleading information has
spread at a remarkable rate on social media, leading to serious implications for individuals …
spread at a remarkable rate on social media, leading to serious implications for individuals …