We have seen the basic and the advanced levels of feature engineering. We have also seen how rule-based systems can be used to develop NLP applications. In this chapter, we will develop NLP applications, and to develop the applications, we will use machine learning (ML) algorithms. We will begin with the basics of ML. After this, we will see the basic development steps of NLP applications that use ML. We will mostly see how to use ML algorithms in the NLP domain. Then, we will move towards the features selection section. We will also take a look at hybrid models and post-processing techniques.
This is the outline of this chapter given as follows:
- Understanding the basics of machine learning
- Development steps for NLP application
- Understanding ML algorithms and other concepts
- Hybrid approaches for NLP applications
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