N-grams – Text Analytics with R

N-grams includes specific coverage of:

• Validate the effectiveness of TF-IDF in improving model accuracy.
• Introduce the concept of N-grams as an extension to the bag-of-words model to allow for word ordering.
• Discuss the trade-offs involved of N-grams and how Text Analytics suffers from the “Curse of Dimensionality”.
• Illustrate how quickly Text Analytics can strain the limits of your computer hardware.

Kaggle Dataset can be found here

The data and R code used in this series is available here

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