Originally published at: https://tutorials.datasciencedojo.com/text-analytics-fundamentals/
Text analytics fundamentals covers:
– The importance of splitting data in to training and test datasets
– Stratified sampling of imbalanced data using the caret package
– Representing text data for the purposes of machine learning
– Introduction to tokenization, stop words, and stemming
– The bag-of-words model
– Considerations for data pre-processing
Kaggle Dataset can be found here
The data and R code used in this series is available here
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