Conclusion


r_subheading-Course Description-r_end In this conclusion to r_link-Introduction to Text Analytics with R- https://online.datasciencedojo.com/course/Text-Analytics-with-R-r_end series, we will discuss about accuracy of the model and why overfitting the model is not a good idea. r_break r_break r_subheading-What You'll Learn-r_end • Optimizing our model for the best generalization on new/unseen data. r_break • Discussion of the sensitivity/specificity trade-off of our optimized model. r_break • Potential next steps regarding feature engineering and algorithm selection for additional gains in effectiveness. r_break • For those that are interested, a collection of resources for further study to broaden and deepen their text analytics skills.

Text Analytics tutorial slides can be accessed r_link-here- https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/Introduction%20to%20Text%20Analytics%20with%20R-r_end r_break r_break Download R r_link-here- https://cran.r-project.org/-r_end r_break r_break SMS Spam Collection Dataset used in this tutorial can be accessed r_link-here- https://www.kaggle.com/uciml/sms-spam-collection-dataset-r_end

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