Analyzing Content of Ham and Spam Texts

Before you answer a text... consider this.

This Data comes from the SMS Spam Collection Dataset from the UC Irvine Machine Learning Repository. By recognizing common phrasing used in spam texts, users can better verify authenticity of recieved messages.