Conclusion – Introduction to Text Analytics with R Part 12

In this conclusion to Text Analytics with R we cover topics such as:

– Optimizing our model for the best generalization on new/unseen data.
– Discussion of the sensitivity/specificity trade-off of our optimized model.
– Potential next steps regarding feature engineering and algorithm selection for additional gains in effectiveness.
– For those that 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.

If you haven’t seen the rest of this series, you can check it out here.


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