Text Mining with R: A Tidy Approach
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Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.
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Science & TechnologyPrint BooksComputersPaperbackNonfictionEngineeringTechnologyRobotics & Artificial IntelligenceArtificial Intelligence (AI)Database ManagementArtificial Intelligence - GeneralDatabases - General & MiscellaneousDatabase Administration & ManagementData Warehousing & MiningDesign & Development - DatabasesNatural Language Processing & Speech Recognition/Synthesis



