Text mining functionality that provides you with access to Natural Language Processing (NLP), sentiment analysis, text discovery dashboard, association discovery maps, document exploration/sentiment markup, classification, and entity and theme extraction.
Predictive modeling and analysis to the next level by providing an efficient and cost-effective way for organizations to enhance their data exploration capabilities through an optimized analytical processing environment—within the database—to accelerate decision making and identify opportunities they can act on.
Comparison analysis enables users to compare sentiment to detect similarities and differences in sentiment distribution across datasets, data sources or text analysis conducted at different points in time.
Trend analysis provides insight into how and why customer sentiment changes over time by tracking sentiment across the most important entities, themes, topics and sentiment phrases discussed by your customers.
Text analytics can be used to build predictive strategies around customer acquisition and retention, cross sell and upsell, next-best-offer, claims fraud reduction, customer service routing, warranty analysis and more.