Explore advanced text analytics techniques in this 33-minute video tutorial focusing on TF-IDF (Term Frequency-Inverse Document Frequency). Learn how to improve document-term frequency matrix representation by addressing unequal document lengths and common terms across documents. Discover the power of TF-IDF for implementing these improvements, with TF handling document length variations and IDF managing frequently occurring terms. Gain hands-on experience implementing TF-IDF using R functions, applying it to document-term frequency matrices, and performing post-weighting data cleaning. Access accompanying data and R code for practical application, and delve into topics such as term frequency, inverse document frequency, environment setup, function combination, transformation, calculation, and testing.
TF-IDF - Introduction to Text Analytics with R
Overview
Syllabus
Introduction
Term Frequency
Inverse Document Frequency
TFIDF
Setting up the environment
Combining the functions
Transform
Calculate
Transpose
Testing
Taught by
Data Science Dojo
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