Practical Text Mining And Statistical Analysis For Non-structured Text Data Applications(1st Edition)

Authors:

Gary Miner, John Elder IV, Thomas Hill, Robert Nisbet, Dursun Delen, Andrew Fast

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

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Book details

ISBN: 012386979X, 978-0123869791

Book publisher: Academic Press

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Customer Reviews

Trusted feedback from verified buyers

TS
Todd Simmons
4.0
A very helpful guide! The chapters are well-organized and provide detailed examples that are easy to understand. I appreciate that it doesn’t just skim through topics. However, some sections could use more examples to clarify advanced concepts. Arrived quickly, and I’m overall quite satisfied with the purchase!
MW
Michael Wheeler
3.0
The book provides a decent introduction to text mining, covering a lot of basics. However, I felt it lacked depth in the statistical analysis part, which could have been more detailed. Nonetheless, a good starting point for beginners. Shipping wasn't bad; the book came on time.
VW
Valerie Wallace
5.0
This book is truly an excellent resource, especially for those new to text mining. The explanations are clear and the examples are applicable to real-world scenarios. I appreciated the step-by-step approach, which made it easy to follow along and apply the techniques to my own projects. Delivery was fast, and the book was packaged securely. Highly recommended for anyone looking to dive into text data.
OP
Owen Parker
5.0
Practical Text Mining And Statistical Analysis For Non-structured Text Data Applications is a gem. It balances theory and practical applications perfectly. As a data analyst, I found the statistical models discussed very insightful. The diagrams are also very helpful. Got an extra discount with my membership, which was icing on the cake! Absolutely love it!
SR
Savannah Ross
4.0
This book strikes a good balance between theory and practical application, which is a huge plus. The explanations are concise, and the examples are relevant. While it could dive deeper into some advanced topics, it still serves as a solid manual for applying text mining methodologies. Took advantage of my subscription discount, making it an even better deal!