Summary
In this chapter, we introduced NLP models and explored the main applications of these models in practice. Additionally, we learned that NLP models require large-scale datasets. Then, we thoroughly discussed the main reasons for that. Following this, we studied a few examples from industry and research where synthetic data was successfully deployed. In the next chapter, we will delve into another set of interesting case studies where synthetic data has been successfully deployed in the predictive analytics field.
