Data preparation & visualization
Accesses, integrates, profiles, cleanses and transforms data. Imports text from more than 35 data connectors. Includes self-service data visualization for exploring and understanding text data.
Quickly and tirelessly sift through growing volumes of text data to identify main ideas or topics, extract key terms, analyze sentiment, and identify correlations between words with the right combination of natural language processing, machine learning and deep learning methods and linguistic rules. This helps get the right information to people when they need it.
Empower decision making at the source of the data, and reduce the gap between when information is received and when it is acted on. If someone leaves a comment or clicks through an app on a mobile device, SAS Visual Text Analytics analyzes the data immediately using in-memory, in-database and in-stream technologies. Embedded visualization capabilities allow for visual exploration of both data and analytics, while also providing intuitive dashboards that easily communicate results to a variety of stakeholders.
SAS Visual Text Analytics provides a flexible environment that supports the entire analytics life cycle – from data preparation, to discovering analytic insights, to putting models into production to realize value. Create, manage and share content, including best practice pipelines, in a highly collaborative workspace that easily integrates with existing systems and open source technology.
Intelligent algorithms and NLP techniques automatically detect relationships and sentiment in text data, eliminating time-consuming manual analysis. The use of human subject matter expertise to refine results is augmented with automatic rule generation and an interactive sandbox that allows you to evaluate subsets of rules to determine which ones are better performing. Drag and drop functionality, best practice templates, simple merge and split features, effortless topic promotion, automatic rule generation and one-click model deployment collectively reduce the human model building effort required, creating more time to focus on finding the information that matters.
This research brief from the International Institute for Analytics and SAS outlines the challenges of implementing text analytics solutions and explores what makes this technology unique and exciting.
This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
Check out these products related to SAS® Visual Text Analytics, all built on the powerful SAS® Platform.
Back to Top