SAS Text Miner

SAS Text Miner discovers information buried in collections of text. By automatically reading text data and delivering algorithms for rigorous, advanced analyses, the solution makes it possible to grasp future trends and act on new opportunities more precisely and with less risk.

It includes advanced linguistic capabilities within the core data mining solution of SAS Enterprise Miner to extend text insights into structured data mining and predictive analysis. SAS Text Miner provides a rich suite of linguistic and analytical modeling tools specifically developed for discovering and extracting knowledge from collections of text content.

Across electronic text snippets, document archives and Web downloads, patterns can be automatically identified as topics and themes, defining explicit associations between terms and phrases.

SAS Text Miner

SAS Text Miner

The Text Analytics software provides supervised, unsupervised and semi supervised methods to discover previously unknown patterns in document collections. It structures data in a numeric representation so that it can be included in advanced analytics, such as predictive analysis, data mining and forecasting. This version also includes insightful reports describing the results from the rule generator node, providing clarity to model training and validation results.

SAS Text Miner

The features include high-performance text mining, user-friendly, flexible interface, automatic boolean rule generation, term profiling and trending, document theme discovery, visual interrogation of results, flexible entity options, easy text importing, native support for multiple languages.

SAS Text Miner processes in a symmetric multiprocessing (SMP) mode, taking advantage of multicore processers on an enabled SAS server decreasing processing times for compute-intensive tasks such as text parsing and singular value decomposition (SVD) generation. High-performance text parsing includes automated part-of-speech and noun group detection, entity and multiword term identification, stemming and synonym detection. High-performance, target-based weighting is available for more accurate categorical target estimates.Graphical and tabular output assesses terms and their distributions within a collection.

SAS Text Miner

Term profiling enables you to describe and predict a target variable based on the detailed terms.Automatic Boolean rule generation resulting rules can be used to directly categorize documents based on rule matches. Allows rules to also be exported as Boolean rules – and used as a starter rule set for SAS Enterprise Content Categorization. User-friendly, flexible interface use topic displays to show document terms/all terms, highlighting why a document was assigned to a particular topic.

SAS Text Miner

Integrated document filtering sophisticated dimension reduction techniques that enable advanced filtering through weighting, integrated spell checking and transformation of qualitative data into compact formats.

Visual analysis of results use the concept link diagram to analyze results visually and to effectively explore the relationships between terms. Interactive text importing interface dynamically create data sets from files contained in a directory or crawled from the web. Native support for multiple languages.