A Complete Guide on Feature Extraction Techniques - Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In Natural Language Processing, Feature Extraction is one of the most important steps to be followed for a better understanding of the context of what we are dealing with. After the initial text is cleaned, we need to transform it into its features to be used for modeling. Document data is not computable so it must be transformed into numerical data such as a vector space model. This transformation task is generally called feature extraction of document data.