Feature Construction

Learn how to perform feature construction using Python.


Feature construction is an essential technique in text preprocessing that involves creating new features or representations of text data to improve the performance of a machine-learning model. More specifically, this process involves combining or transforming existing features to capture important information or patterns in the data. For example, if we’re working with a review dataset, we might want to create a new review_length feature that contains the count of characters within the review column in a dataset. We can then use such a new feature as part of the training data to enhance the performance of a machine-learning model.

New feature categories

Here are a few categories of features that we can create when performing feature construction:

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