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[HTML][HTML] Email spam detection by deep learning models using novel feature selection technique and BERT
Due to the influx of advancements in technology and the increased simplicity of
communication through emails, there has been a severe threat to the global economy and …
communication through emails, there has been a severe threat to the global economy and …
Long short-term memory networks for email spam classification
In this internet era, email becomes very popular because of its fastest and easiest way of
sharing information with others. Spam is the major problem, which sends unwanted …
sharing information with others. Spam is the major problem, which sends unwanted …
An advanced deep attention collaborative mechanism for secure educational email services
Y Chen, Y Yang - Computational Intelligence and …, 2022 - Wiley Online Library
The COVID‐19 crisis has once again highlighted the vulnerabilities of some critical areas in
cyberspace, especially in the field of education, as distance learning and social distance …
cyberspace, especially in the field of education, as distance learning and social distance …
Detection of spam messages in e-messaging platform using machine learning
In recent years, the internet has surpassed print as the dominant source of knowledge
Individuals who don't have enough time to actually read the newspaper resort to social …
Individuals who don't have enough time to actually read the newspaper resort to social …
Movie Success-Rate Prediction System through Optimal Sentiment Analysis
DM Qaseem, N Ali, W Akram, A Ullah… - Journal of the Institute of …, 2022 - iecscience.org
With the speedy growth of social media, it has become easy for people to express their
feelings about anything and give their opinions. These opinions are helpful in business …
feelings about anything and give their opinions. These opinions are helpful in business …
Deep neural network based spam email classification using attention mechanisms
Spam emails pose a threat to individuals. The proliferation of spam emails daily has
rendered traditional machine learning and deep learning methods for screening them …
rendered traditional machine learning and deep learning methods for screening them …
Diverse ensemble classifier driven Email spam classification using multiple word embedding's with COCOB optimizer
Spam Email is a serious concern which can steal user's personal information and cause
huge financial loss due to the increasing rate of internet users. Therefore, the demand for …
huge financial loss due to the increasing rate of internet users. Therefore, the demand for …
Semantic-Based Feature Extraction and Feature Selection in Digital Library User Behaviour Dataset
Abstract World Wide Web has become a universal environment for human interface,
collaboration, communication, data storage and data sharing. Information retrieval is a …
collaboration, communication, data storage and data sharing. Information retrieval is a …
Transformer-based attention model for email spam classification
Over the past few decades, communication has become easier due to the rapid
development in technology. Although several modes exist for communication, in this era of …
development in technology. Although several modes exist for communication, in this era of …
E-mail Classification Using Traditional Deep Learning Models and Large Language Models
A Rahman, DA Algarni, DA Aluhaideb… - Finance and Law in the …, 2024 - Springer
Nowadays, the reliance on electronic mail (E-mail) as a communication channel has
increased significantly, especially in businesses. Companies receive an enormous volume …
increased significantly, especially in businesses. Companies receive an enormous volume …