Mobile spam text messages have gotten more and more common in the past decade. They are designed similar to email spam where the text indicates a sense of urgency and has a socially engineered url in the message to visit. In this study, I compare how effective a simple neural network will be in classifying spam and non-spam messages. Moreover, a comparison was made between neural network and other classifers such as multinomial naive bayes to see how a basic neural network ranks against them.
More info on Github.