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Text Classification is the process of having a neural network learn how to understand the contents or sentiment of a piece of text. In this learning path, well focus on comment spam, where people or bots post unsolicited spam messages to your site or blog. Well see how you can build a model that recognizes comment spam trained on some existing examples so you can provide a filter in your app. As soon as someone types a message into the app that looks like its a comment spam, you can provide feedback to your users to edit the message, and then youll have a lesser burden on the backend to moderate and delete them. Lets start with building a very simple app that simulates the activity in your app, where users may enter a comment. The first version of the app will be completely unfiltered, so that messages will just get sent to your backend. Here you see the first app that youll build running an Android Studio. Its a really simple app. As you can see here now, its just a pass thro
