Text as Data: Computational Methods of Understanding Written Expression Using SAS (Wiley and SAS Business Series) 1st Edition

Text as Data: Computational Methods of Understanding Written Expression Using SAS (Wiley and SAS Business Series) 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9781119487128,1119487129,9781119487159, 1119487153

Product detail:

• ISBN 10:  1119487153
• ISBN 13: 9781119487159
• Author: Barry DeVille, Gurpreet Singh Bawa

Text As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text analytics

The need for powerful, accurate and increasingly automatic text analysis software in modern information technology has dramatically increased. Fields as diverse as financial management, fraud and cybercrime prevention, Pharmaceutical R&D, social media marketing, customer care, and health services are implementing more comprehensive text-inclusive, analytics strategies. Text as Data: Computational Methods of Understanding Written Expression Using SAS presents an overview of text analytics and the critical role SAS software plays in combining linguistic and quantitative algorithms in the evolution of this dynamic field.

Drawing on over two decades of experience in text analytics, authors Barry deVille and Gurpreet Singh Bawa examine the evolution of text mining and cloud-based solutions, and the development of SAS Visual Text Analytics. By integrating quantitative data and textual analysis with advanced computer learning principles, the authors demonstrate the combined advantages of SAS compared to standard approaches, and show how approaching text as qualitative data within a quantitative analytics framework produces more detailed, accurate, and explanatory results.

Table of contents:

1. CHAPTER 1: Text Mining and Text Analytics
2. CHAPTER 2: Text Analytics Process Overview
3. CHAPTER 3: Text Data Source Capture
4. CHAPTER 4: Document Content and Characterization
5. CHAPTER 5: Textual Abstraction: Latent Structure, Dimension Reduction
6. CHAPTER 6: Classification and Prediction
7. CHAPTER 7: Boolean Methods of Classification and Prediction
8. CHAPTER 8: Speech to Text

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