Deep learning based sentiment analysis for phishing sms detection

A Sharaff, R Allenki, R Seth - Research anthology on implementing …, 2022 - igi-global.com
Sentiment analysis works on the principle of categorizing and identifying the text-based
content and the process of classifying documents into one of the predefined classes …

Machine intelligence based hybrid classifier for spam detection and sentiment analysis of SMS messages

U Srinivasarao, A Sharaff - Multimedia Tools and Applications, 2023 - Springer
Abstract Short Message Service (SMS) on mobile phones has improved because of
technological advancements and increases in content-based marketing where smart …

[PDF][PDF] Lexicon and learn-based sentiment analysis for web spam detection

A Waheed, A Salam, JI Bangash, M Bangash - 2021 - ieeesem.com
The increased usage of internet has also made it an opportunity for cybercrimes and
unethical activities. Spam and fake news propaganda are critical aspects in this domain …

Smishing: A SMS Phishing Detection Using Various Machine Learning Algorithms

P Prajapati, H Nandani, D Shah, S Shah… - … on Communication and …, 2023 - Springer
Amid the pandemic, there has been a steep rise in cybercrimes against individuals and
corporations, making implementing security measures even more imperative. This paper …

Spam email detection with affect intensities using recurrent neural network algorithm

NA Farahisya, FA Bachtiar - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
A large number of email users triggers an increase in the occurrence of spam in emails to
gain benefits for some parties but harm others and also email users. Spam emails usually …

[HTML][HTML] RETRACTED ARTICLE: Cognition based spam mail text analysis using combined approach of deep neural network classifier and random forest

S Sumathi, GK Pugalendhi - Journal of Ambient Intelligence and …, 2021 - Springer
Email Spam is a variety of automated spam where unbidden messages, used for business
purpose, sent extensively to multiple mailing lists, individuals or newsgroups. To build a …

[PDF][PDF] IMPROVEMENT OF CLASSIFICATION FEATURES TO INCREASE PHISHING TWEETS DETECTION ACCURACY.

SW LIEW, NORFM SANI, MT ABDULLAH… - Journal of Theoretical & …, 2018 - jatit.org
Phishing can be defined as a form of social engineering crime that uses to deceive victims
by directing them to the fraudulent websites that appear legitimate which will then collect …

[Retracted] Real‐Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques

AP Rodrigues, R Fernandes, A Shetty… - Computational …, 2022 - Wiley Online Library
In this modern world, we are accustomed to a constant stream of data. Major social media
sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of these sites fall victim to …

Spam email detection using machine learning and neural networks

M Sethi, S Chandra, V Chaudhary, Y Dahiya - Sentimental Analysis and …, 2022 - Springer
Spam emails are junk emails which are unrequested deceptive emails sent or forwarded to
any person or a company which may contain malware and has access to confidential …

Real-Time Sentiment Analysis and Spam Detection Using Machine Learning and Deep Learning

MM Abdulhasan, H Alchilibi, MA Mohammed… - … Conference on Data …, 2023 - Springer
In our environment, constant information exposure is required and done in a certain way.
Twitter, Facebook, and Quora struggle to handle spam accounts. Automated software …