Summary
In this chapter, we discussed modeling for NLP competitions. We demonstrate both vintage and state-of-the-art methods applicable to a diverse range of problems appearing in Kaggle competitions. In addition, we touched upon the frequently ignored topic of text augmentation.
In the next chapter, we will discuss simulation competitions, a new class of contests that has been gaining popularity over the last few years.
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