Chapter 1 Introduction to Text Analytics

Overview of Text Analytics

Text Mining Using SAS Text Miner

Information Retrieval

Document Classification

Ontology Management

Information Extraction

Clustering

Trend Analysis

Enhancing Predictive Models Using Exploratory Text Mining

Sentiment Analysis

Emerging Directions

Handling Big (Text) Data

Voice Mining

Real-Time Text Analytics

Summary

References

Overview of Text Analytics

Text analytics helps analysts extract meanings, patterns, and structure hidden in unstructured textual data. The information age has led to the development of a wide variety of tools and infrastructure to capture and store massive amounts of textual data. In a 2009 report, the International Data Corporation (IDC) estimated that ...

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