Model Optimization | Introduction to Text Analytics with R | Part 12

This video concludes our Introduction to Text Analytics with R and covers optimizing your model for the best generalizability on new/unseen data. It includes:
– Discussion of the sensitivity/specificity tradeoff of our optimized model.
– Potential next steps regarding feature engineering and algorithm selection for additional gains in effectiveness.
– For those who are interested, a collection of resources for further study to broaden and deepen their text analytics skills.

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

Table of Contents:
0:00 Introduction
17:18 Books recommendation
20:55 NLP task view
22:04 Information retrieval
23:47 Python

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