In this chapter, we have looked at all kinds of preprocessing techniques which will be useful to you when you are developing an NLP system or an NLP application. We have also touched upon a spelling correction system which you can consider as part of the preprocessing technique because it will be useful for many of the NLP applications that you develop in the future. By the way, you can access the code on GitHub by clicking the following link: https://github.com/jalajthanaki/NLPython/tree/master/ch4
In the next chapter, we will look at the most important part for any NLP system: feature engineering. The performance of an NLP system mainly depends on what kind of data we provide to the NLP system. Feature engineering is an art and skill which you are going to adopt from the next chapter onwards and, trust me, it is the most important ingredient in developing the NLP systems...