Applications

In general, anyone who routinely needs to review large volumes of documents to identify key elements for further exploration can benefit from IBM® SPSS® Modeler Text Analytics.

Some specific applications include:

• Scientific and medical research. Explore secondary research materials, such as patent reports, journal articles, and protocol publications. Identify associations that were previously unknown (such as a doctor associated with a particular product), presenting avenues for further exploration. Minimize the time spent in the drug discovery process. Use as an aid in genomics research.
• Investment research. Review daily analyst reports, news articles, and company press releases to identify key strategy points or market shifts. Trend analysis of such information reveals emerging issues or opportunities for a firm or industry over a period of time.
• Fraud detection. Use in banking and health-care fraud to detect anomalies and discover red flags in large amounts of text.
• Market research. Use in market research endeavors to identify key topics in open-ended survey responses.
• Blog and Web feed analysis. Explore and build models using the key ideas found in news feeds, blogs, etc.
• CRM. Build models using data from all customer touch points, such as e-mail, transactions, and surveys.