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copyright lastupdated
years
2015, 2018
2018-05-31

{:shortdesc: .shortdesc} {:new_window: target="_blank"} {:tip: .tip} {:pre: .pre} {:codeblock: .codeblock} {:screen: .screen} {:javascript: .ph data-hd-programlang='javascript'} {:java: .ph data-hd-programlang='java'} {:python: .ph data-hd-programlang='python'} {:swift: .ph data-hd-programlang='swift'}

Sample apps

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}

E-commerce product categorization

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).

Phishing prediction

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.

Text message spam prediction

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.

Health injury classification with ICD-10 codes

Build a Python app based on the Flask microframework. The app uses the Watson Python SDK and the ICD-10 API.

Factoid assistant

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.

Harry Potter sorting hat

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.