In this tutorial on Introduction to Text Analytics with R, we will discuss different metrics to evaluate and improve the accuracy of the model.
What You'll Learn
> The importance of metrics beyond accuracy for building effective models.
> Coverage of sensitivity and specificity and their importance for building effective binary classification models.
> The importance of feature engineering for building the most effective models.
> How to identify if an engineered feature is likely to be effective in Production.
> Improving our model with an engineered feature.
Text Analytics tutorial slides can be accessed here
Download R here
SMS Spam Collection Dataset used in this tutorial can be accessed here
Data Science Dojo Instructor - Data Science Dojo is a paradigm shift in data science learning. We enable all professionals (and students) to extract actionable insights from data.
© Copyright – Data Science Dojo