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Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using...

by Chakraborty, Goutam; Pagolu,... | PB | Acceptable
US $7.37
ApproximatelyRM 31.08
Condition:
Acceptable
Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend ... Read moreabout condition
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eBay item number:376269387731
Last updated on Jul 23, 2025 11:42:16 MYTView all revisionsView all revisions

Item specifics

Condition
Acceptable
A book with obvious wear. May have some damage to the cover but integrity still intact. The binding may be slightly damaged but integrity is still intact. Possible writing in margins, possible underlining and highlighting of text, but no missing pages or anything that would compromise the legibility or understanding of the text. See all condition definitionsopens in a new window or tab
Seller Notes
“Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend ...
Binding
Paperback
Book Title
Text Mining and Analysis
Weight
1 lbs
Product Group
Book
IsTextBook
No
ISBN
9781612905518

About this product

Product Identifiers

Publisher
SAS Institute
ISBN-10
161290551X
ISBN-13
9781612905518
eBay Product ID (ePID)
17038769010

Product Key Features

Number of Pages
340 Pages
Language
English
Publication Name
Text Mining and Analysis : Practical Methods, Examples, and Case Studies Using Sas
Subject
Probability & Statistics / General, General
Publication Year
2013
Type
Textbook
Author
Goutam Chakraborty, Satish Garla, Murali Pagolu
Subject Area
Mathematics, Computers
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
27.1 Oz
Item Length
11 in
Item Width
8.2 in

Additional Product Features

Intended Audience
Scholarly & Professional
Synopsis
Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media.However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS.This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries.Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis., Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text Mining and Analysis.

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