NLP with Neural Nets to classify text with multiple possible topics?

Hey Everyone!

Was wondering if anyone had a good idea or could point me in the right direction to some papers that discuss methods of using NN’s for parsing text data (a paragraph, say), and being able to tell what different topics that paragraph is talking about? I want to try it to parse a lot of medical journal data (like are they talking about cancer, diabetes, etc?), but not sure what the best method would be since this is a classification problem with multiple possibilities occurring at once.


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