Kaggle Competition : Using News to Predict Stock Movements

Hey everybody!
I was wondering if anybody is currently working on the Two Sigma Kaggle competition. The data consists of text in the form of stock market news and also metedata. So this is not a pure NLP problem because we also have some metadata to work with. What are common approaches to create models for this type of data?

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