[HTML][HTML] How AI can be used for governance of messaging services: A study on spam classification leveraging multi-channel convolutional neural network
G Waja, G Patil, C Mehta, S Patil - International Journal of Information …, 2023 - Elsevier
Over the past decade, there has been a meteoric evolution in Internet Messaging Services
and although these services have become ingrained in our everyday life, SMS service …
and although these services have become ingrained in our everyday life, SMS service …
A weighted feature enhanced Hidden Markov Model for spam SMS filtering
T Xia, X Chen - Neurocomputing, 2021 - Elsevier
Short message service (SMS) is a most favored communication service people use in daily
life. However, this service is being misused by spammers. Rule based systems (RBS) and …
life. However, this service is being misused by spammers. Rule based systems (RBS) and …
Covid-19: A comprehensive review of learning models
Coronavirus disease is communicable and inhibits the infected person's immune system. It
belongs to the Coronaviridae family and has affected 213 nations and territories so far. Many …
belongs to the Coronaviridae family and has affected 213 nations and territories so far. Many …
Semi-supervised novelty detection with one class SVM for SMS spam detection
The volume of SMS messages sent on a daily basis globally has continued to grow
significantly over the past years. Hence, mobile phones are becoming increasingly …
significantly over the past years. Hence, mobile phones are becoming increasingly …
[HTML][HTML] SMSPROTECT: An automatic smishing detection mobile application
Abstract Short Messaging Service (SMS) has grown to become the most widely used feature
in mobile devices. The technological advancements that birthed other alternative messaging …
in mobile devices. The technological advancements that birthed other alternative messaging …
Disaster related social media content processing for sustainable cities
The current study offers a hybrid convolutional neural networks (CNN) model that filters
relevant posts and categorises them into several humanitarian classifications using both …
relevant posts and categorises them into several humanitarian classifications using both …
Spam message detection using Danger theory and Krill herd optimization
Due to proliferation of online posts and rise in the active social media users, fraudulent
activities related with spam messages have taken a spike drift. Spam is an activity by which …
activities related with spam messages have taken a spike drift. Spam is an activity by which …
Forecasting Bitcoin Prices using Deep Learning for Consumer Centric Industrial Applications
As cryptocurrencies become more popular as investment vehicles, bitcoin draws interest
from businesses, consumers, and computer scientists all across the world. Bitcoin is a …
from businesses, consumers, and computer scientists all across the world. Bitcoin is a …
Detecting Arabic spam reviews in social networks based on classification algorithms
H Najadat, MA Alzubaidi, I Qarqaz - Transactions on Asian and Low …, 2021 - dl.acm.org
Reviews or comments that users leave on social media have great importance for
companies and business entities. New product ideas can be evaluated based on customer …
companies and business entities. New product ideas can be evaluated based on customer …
Robust multi-domain descriptive text classification leveraging conventional and hybrid deep learning models
Since an unprecedented amount of online information in the form of unstructured texts is
generated daily, researchers have started to focus on the development of robust …
generated daily, researchers have started to focus on the development of robust …