Easy Text Classification with Machine Learning
Richard Socher · Romain Paulus · Bryan McCann · Andrew Y Ng
2013 Demonstration
Abstract
The goal of this website is to make text classification with machine learning so easy to use that it becomes accessible to a wide audience.
The website integrates with different data sources, such as Twitter. It allows people to upload their own unlabeled text via a simple drag and drop interface and have it tagged with our trained classifiers. It is also possible to upload a labeled dataset and train your own classifier. User supplied classifiers can then in turn be used by other users.
Two of many possible exciting classifiers will classify sentiment on Twitter or whether a kickstarter proposal is likely to succeed.
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