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

by Goutam Chakraborty, Murali Pagolu, Satish Garla

data analysis Text Mining SAS
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This book offers practical methods, examples, and case studies for text mining and analysis using SAS. It equips readers with tools to process unstructured data, uncover patterns, and derive actionable insights for various applications. Ideal for data analysts seeking to enhance their skills in text analytics.

About This Book

Text Mining and Analysis provides a comprehensive introduction to practical methods for extracting insights from textual data using SAS software.

The book covers fundamental techniques, including data preparation, pattern recognition, and predictive modeling, with step-by-step examples to illustrate key concepts.

Case studies demonstrate real-world applications, helping readers apply these methods to solve business and research challenges.

Designed for analysts and data professionals, it emphasizes hands-on implementation to build proficiency in text analytics.

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I will be using this book for: