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Document-Term Matrix in NLP: Count and TF-IDF Scores Explained

Written by @balapriya | Published on 2022/1/17

TL;DR
In NLP, Document-Term Matrix (DTM) is a matrix representation of the text corpus. The TF-IDF score is widely used to populate the DTM. Read this tutorial to understand more about the Document-Term Matrix, and the TF-IDF score. And use scikit-learn to generate the Document-Term Matrix for your favorite piece of text!

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Written by
@balapriya
A developer and writer from India | Enjoys reading, writing, coding, and coffee ☕

Topics and
tags
document-term-matrix|nlp|python-tutorials|blogging-fellowship|tf-idf-score|ai|hackernoon-top-story|machine-learning
This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: iR2piXQ544QnDp0rAzSbg9fJbq7yKOj93CH9BCCVPa0