Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)
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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series), Larry Gonick, 9780367554187
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How do preprocessing steps such as tokenization, stemming, and removing stop words affect predictive models? Build beginning-to-end workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data
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