Explain the concept of Feature Engineering.

1.	Explain the concept of Feature Engineering.
Answer» After a VARIETY of pre-processing procedures and their applications, we need a WAY to input the pre-processed TEXT into an NLP algorithm later when we employ ML methods to complete our modelling step. The set of strategies that will achieve this goal is referred to as feature engineering. Feature extraction is another name for it. The purpose of feature engineering is to convert the text's qualities into a numeric vector that NLP ALGORITHMS can understand. This stage is CALLED "text representation".

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