It takes the average reader 5 hours and 8 minutes to read Text Data Mining Using R by David J. Marchette
Assuming a reading speed of 250 words per minute. Learn more
Text mining is a relatively new area that has seen a recent explosion in interest. It uses techniques from statistics, data mining and computer science and there is a need for a book that brings all these techniques together. This book fills that gap, presenting an overview of text mining methods with real examples and R code integrated throughout. It covers all the key topics, including data cleaning, text classification, and natural language processing, as well as applications to social media. All code and data are made available to supplement the book, which could be used as a textbook or reference.
Text Data Mining Using R by David J. Marchette is 304 pages long, and a total of 77,216 words.
This makes it 103% the length of the average book. It also has 94% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 7 hours and 1 minute to read Text Data Mining Using R aloud.
Text Data Mining Using R is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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