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Dive into the fundamentals of text analytics in this 34-minute video tutorial. Learn essential techniques for effective text analysis, including splitting data into training and test sets, performing stratified sampling for imbalanced data using the caret package, and representing text data for machine learning purposes. Explore key concepts such as tokenization, stop words, and stemming, and understand the bag-of-words model for text analytics. Gain insights into important data pre-processing considerations specific to text analysis. Access accompanying data and R code to practice these concepts hands-on.
