[HTML][HTML] A recent overview of the state-of-the-art elements of text classification
The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …
classification. For this purpose, we first select and investigate the primary and recent studies …
A comprehensive survey for intelligent spam email detection
The tremendously growing problem of phishing e-mail, also known as spam including spear
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …
Bidirectional LSTM with attention mechanism and convolutional layer for text classification
Neural network models have been widely used in the field of natural language processing
(NLP). Recurrent neural networks (RNNs), which have the ability to process sequences of …
(NLP). Recurrent neural networks (RNNs), which have the ability to process sequences of …
Robust spammer detection using collaborative neural network in Internet-of-Things applications
Spamming is emerging as a key threat to the Internet of Things (IoT)-based social media
applications. It will pose serious security threats to the IoT cyberspace. To this end, artificial …
applications. It will pose serious security threats to the IoT cyberspace. To this end, artificial …
Sentiment analysis of persian movie reviews using deep learning
Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …
Fuz-spam: Label smoothing-based fuzzy detection of spammers in internet of things
Nowadays, online spamming has already been a remarkable threat to contents security of
Internet of Things. Due to constant technical progress, online spamming activities have been …
Internet of Things. Due to constant technical progress, online spamming activities have been …
Extra-tree classifier with metaheuristics approach for email classification
It is very normal for any user to receive hundreds of emails every day. Almost 93% of them
are spam messages which include mainly advertisements from the industries like software …
are spam messages which include mainly advertisements from the industries like software …
A hybrid CNN-LSTM model for SMS spam detection in arabic and english messages
Despite the rapid evolution of Internet protocol-based messaging services, SMS still remains
an indisputable communication service in our lives until today. For example, several …
an indisputable communication service in our lives until today. For example, several …
Mobile phishing attacks and defence mechanisms: State of art and open research challenges
Phishing is an online identity theft in which an attacker tries to steal user's personal
information, resulting in financial loss of individuals as well as organisations. Nowadays …
information, resulting in financial loss of individuals as well as organisations. Nowadays …
Enhancing spam message classification and detection using transformer-based embedding and ensemble learning
Over the last decade, the Short Message Service (SMS) has become a primary
communication channel. Nevertheless, its popularity has also given rise to the so-called …
communication channel. Nevertheless, its popularity has also given rise to the so-called …