Originally published at: https://tutorials.datasciencedojo.com/text-analytics-with-r-tf-idf/

TF-IDF includes specific coverage of:

• Discussion of how the document-term frequency matrix representation can be improved:

– How to deal with documents of unequal lengths.

– What to do about terms that are very common across documents.

•Introduction of the mighty term frequency-inverse document frequency to implement these improvements:

-TF for dealing with documents of unequal lengths.

-IDF for dealing with terms that appear frequently across documents.

• Implementation of TF-IDF using R functions and applying them to document-term frequency matrices.

• Data cleaning of matrices post weighting/transformation.

Kaggle Dataset can be found **here**

The data and R code used in this series is available **here**

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