Text summarization, topic models and RNNs

I’ve recently given a couple of talks (PyGotham video, PyGotham slides, Strata NYC slides) about text summarization.

I cover three ways of automatically summarizing text. One is an extremely simple algorithm from the 1950s, one uses Latent Dirichlet Allocation, and one uses skipthoughts and recurrent neural networks.

The talk is conceptual, and avoids code and mathematics. So here is a list of resources if you’re interested in text summarization and want to dive deeper.