Practical Text Analytics: Maximizing the Value of Text Data 2019 Edition Contributor(s): Anandarajan, Murugan (Author), Hill, Chelsey (Author), Nolan, Thomas (Author) |
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ISBN: 3319956620 ISBN-13: 9783319956626 Publisher: Springer OUR PRICE: $94.99 Product Type: Hardcover Published: November 2018 |
Additional Information |
BISAC Categories: - Business & Economics | Industries - Computers & Information Technology - Computers | Enterprise Applications - Business Intelligence Tools - Business & Economics | Statistics |
Dewey: 330.015 |
Series: Advances in Analytics and Data Science |
Physical Information: 0.75" H x 6.14" W x 9.21" (1.36 lbs) 285 pages |
Descriptions, Reviews, Etc. |
Publisher Description: This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media. Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information. |