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Explore our sample applications to help you understand what you can develop with {{site.data.keyword.nlclassifiershort}}. {: shortdesc}
These apps are created by the community of developers and are not supported by IBM. They might not work as expected and they might not be available all the time. {: tip}
Organize products in your e-commerce store. This Python app categorizes products from a text description or from a link to a product. The training data comes from two public e-commerce data sets found on Kaggle.com (Flipkart and JCPenny).
- Read more {: new_window}
- View the demo {: new_window}
- Video walkthrough {: new_window}
- Fork the code {: new_window}
Create and deploy a web app to predict phishing attempts in email. Try one of the samples or enter your own text, and see how it's classified.
- Read more {: new_window}
- View the demo {: new_window}
- Fork the code {: new_window}
Create a Python app to predict spam. The training data is a public set of 5,574 English SMS messages collected for mobile phone spam research.
- Watch a video walkthrough {: new_window} or read more {: new_window}
- View the demo {: new_window}
- Fork the code {: new_window}
Build a Python app based on the Flask microframework. The app uses the Watson Python SDK and the ICD-10 API.
- Read more {: new_window}
- Video walkthrough {: new_window}
- Fork the code {: new_window}
Ask questions and gain insights from them. This Node.js app takes a factoid question, connects with DBpedia, uses {{site.data.keyword.nlushort}} to detect entities and concepts, and classifies the question with {{site.data.keyword.nlclassifiershort}}. Use your own database to customize the app for your users' questions.
- View the demo {: new_window}
- Fork the code {: new_window}
Looking for a fun DIY project that combines code, Arduino, and hardware? This app uses {{site.data.keyword.nlclassifiershort}} and {{site.data.keyword.speechtotextshort}} to create a Harry Potter sorting hat.
- Read how {: new_window}
- Fork the code {: new_window}