NLP with Python! Term Frequency-Inverse Document Frequency (tf-idf)
Tutorial on calculating the term frequency inverse document frequency from scratch. Learn how to preprocess a corpus of documents and create functions for the term frequency, inverse document frequency and combine them to calculate the tf-idf.
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The notebook can be found in the "NLP" folder within the below repo. GitHub Repo - https://github.com/ad17171717/YouTube...
CONNECT:
LinkedIn: / adrian-dolinay-frm-96a289106
GitHub: https://github.com/ad17171717
Twitter: / dolinayg
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|-Video Chapters-|
0:00 - Intro
0:19 - Reviewing the data set
0:32 - Preprocessing text data
2:11 - Term frequency (tf) function
7:35 - Inverse document frequency (idf) function
11:59 - Term Frequency-Inverse Document Frequency (tf-idf) function
13:55 - Saving the tf-idf into a DataFrame
14:28 - Comparing our function to Scikit-learn
16:26 - References and additional learning
