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Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.
Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Fa
Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R
Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for
A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a
Master text-taming techniques and build effective text-processing applications with R About This Book Develop all the relevant skills for building text-mining a