Product Overview: SAS Text Miner
SAS Text Miner is a powerful text mining software designed to extract valuable insights from large volumes of unstructured text data. This tool is an integral component of the SAS Enterprise Miner suite, enabling users to analyze text from various sources such as the web, comment fields, books, and other textual documents.
What SAS Text Miner Does
SAS Text Miner is tailored to help users uncover hidden themes, concepts, and relationships within text data. It transforms unstructured text into structured, numeric representations that can be integrated into predictive and data mining models. This process enhances the predictive power of models by incorporating situational knowledge and events described in textual data that might not be captured in traditional structured fields.
Key Features and Functionality
High-Performance Text Mining
SAS Text Miner allows for the rapid evaluation of large document collections using high-performance text mining procedures, enabling quick discovery of essential elements even in vast datasets.
User-Friendly Interface
The software features a user-friendly, flexible interface that conforms to Windows accessibility standards, making it easy for users to navigate and analyze text data. This interface is part of the SAS Enterprise Miner environment, providing a seamless integration with other data mining activities.
Automatic Boolean Rule Generation and Classification
SAS Text Miner can automatically classify content using Boolean rules and categorize documents into predefined categories. This is particularly useful in applications such as help desk inquiries, news item routing, and offline email filtering.
Term Profiling and Trending
The software evaluates the relevance of terms in a collection and tracks usage trends over time. This includes term identification, frequency analysis, and the ability to define custom entities for fact and event extraction.
Document Theme Discovery
SAS Text Miner identifies themes in document collections using integrated document filtering capabilities. It also performs clustering, classification, prediction, and concept linking of the document collection, providing a comprehensive overview of the text data.
Visual Interrogation of Results
Users can visually analyze results, explore relationships between terms, and communicate findings effectively. The software supports various visual tools to help in understanding the data better.
Flexible Entity Options and Language Support
The tool allows users to choose pre-defined entities or define their own custom entities for extraction. It also supports multiple languages, including English, French, German, and many others, facilitating global text analysis.
Easy Text Importing and Universal Data Access
SAS Text Miner can import text documents from various sources such as ASCII, PDF, HTML, Excel, Lotus, and PowerPoint, and integrate them into a single SAS data set for analysis.
Integration with SAS Enterprise Miner
The software operates within the same environment as SAS Enterprise Miner, enabling the joint evaluation of both structured and unstructured data elements. This integration allows for the enhancement of other data mining activities by incorporating previously unused free-form text.
In summary, SAS Text Miner is a robust tool that automates the process of extracting insights from text data, improves model performance, and adds subject-matter expertise to machine-learning results. Its high-performance capabilities, user-friendly interface, and extensive feature set make it an invaluable asset for anyone dealing with large volumes of textual data.