Abstract: People's attention towards usage of social media is growing continuously, particularly youngsters are paying special attention by means of advancing their professions and expanding network.

Abstract: Spam detection remains a critical cybersecurity challenge as spam threats grow increasingly sophisticated. This research systematically customizes and benchmarks tailored Large Language ...

This project classifies SMS messages as spam or ham using a PyTorch logistic regression model with a bag-of-words representation, including train/validation/test split, performance evaluation ...

Natural Language Processing using Tensorflow, the model is trained on >5000 SMS text messages to identify spam messages with an validation accuracy of over 98%.

1Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland. 2The Ludwig Center for Cancer Genetics and Therapeutics, Baltimore, Maryland. 3The Sol ...