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Survey on profiling age and gender of text authors
Author profiling from text documents has become a popular task in latest years, in natural
language applications. Author profiling is important for various domains such as advertising …
language applications. Author profiling is important for various domains such as advertising …
Daict: A dialectal arabic irony corpus extracted from twitter
Identifying irony in user-generated social media content has a wide range of applications;
however to date Arabic content has received limited attention. To bridge this gap, this study …
however to date Arabic content has received limited attention. To bridge this gap, this study …
Fake news detection for Arabic headlines-articles news data using deep learning.
Fake news has become increasingly prevalent in recent years. The evolution of social
websites has spurred the expansion of fake news causing it to a mixture with truthful …
websites has spurred the expansion of fake news causing it to a mixture with truthful …
Chaos enhanced intelligent optimization-based novel deception detection system
Today, with the develo** technology, access methods to information have also changed.
Internet blogs and news sites, social media, etc. replace the traditional information access …
Internet blogs and news sites, social media, etc. replace the traditional information access …
A survey of machine learning-based author profiling from texts analysis in social networks
Recently, online social networks, such as Twitter, Facebook, LinkedIn, etc., have grown
exponentially with a large amount of information. These social networks have huge volumes …
exponentially with a large amount of information. These social networks have huge volumes …
An author gender detection method using whale optimization algorithm and artificial neural network
Author gender detection (AGD) is a serious and crucial issue in Internet security
applications, in particular in email, messenger, and social network communications …
applications, in particular in email, messenger, and social network communications …
AraNet: A deep learning toolkit for Arabic social media
We describe AraNet, a collection of deep learning Arabic social media processing tools.
Namely, we exploit an extensive host of publicly available and novel social media datasets …
Namely, we exploit an extensive host of publicly available and novel social media datasets …
ExaAUAC: Arabic Twitter user age prediction corpus based on language and metadata features
Twitter is a rich resource for analyzing the contents of social media and extracting the age
groups of users can be beneficial for recommender systems, marketing and advertising. Age …
groups of users can be beneficial for recommender systems, marketing and advertising. Age …
[PDF][PDF] NAYEL@ APDA: Machine Learning Approach for Author Profiling and Deception Detection in Arabic Texts.
In this paper, we describe the methods and experiments that have been used in
development of our system for Author Profiling and Deception Detection in Arabic shared …
development of our system for Author Profiling and Deception Detection in Arabic shared …
Multi-task bidirectional transformer representations for irony detection
Supervised deep learning requires large amounts of training data. In the context of the
FIRE2019 Arabic irony detection shared task (IDAT@ FIRE2019), we show how we mitigate …
FIRE2019 Arabic irony detection shared task (IDAT@ FIRE2019), we show how we mitigate …