Model Optimization - Series Conclusion - Introduction to Text Analytics with R

Conclude the "Introduction to Text Analytics with R" series with this final video that focuses on model optimization and future directions. Learn how to optimize your model for better generalization on unseen data, and explore the sensitivity/specificity tradeoff of the optimized model. Discover potential next steps in feature engineering and algorithm selection to further improve effectiveness. Access a curated collection of resources for expanding your text analytics skills. Find the data and R code used throughout the series on the provided GitHub link. Gain valuable insights into text analytics techniques and their practical applications in data science.

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