Python Natural Language Processing

What is the purpose of feature engineering?

In this section, we will look at the major features that will help us to understand feature engineering:

• We have raw data in natural language that the computer can't understand, and algorithms don't have the ability to accept the raw natural language and generate the expected output for an NLP application. Features play an important role when you are developing NLP applications using machine learning techniques.
• We need to generate the attributes that are representative for our corpus as well as those attributes that can be understood by machine learning algorithms. ML algorithms can understand only the language of feature for communication, and coming up with appropriate attributes or features ...