TF-IDF | Introduction to Text Analytics with R | Part 5

This talk provides an overview of TF-IDF and includes:
1. 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.
2. Introduction of the mighty term frequency-inverse document frequency (TF-IDF) to implement these improvements:
-TF for dealing with documents of unequal lengths.
-IDF for dealing with terms that appear frequently across documents.
3. Implementation of TF-IDF using R functions and applying TF-IDF to document-term frequency matrices.
4. Data cleaning of matrices post TF-IDF weighting/transformation.

The data and R code used in this series is available here:
https://code.datasciencedojo.com/data...

Table of contents:
0:00 Introduction
7:08 Term Frequency
10:12 Inverse document frequency
12:55 TDIDF
13:21 Setting up the environment
17:42 Combining the functions
19:03 Transform
21:27 Calculate
25:52 Transpose
27:04 Testing

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