Amvik eBook Solutions

Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Fa

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.

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

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