SAS Text Miner

SAS Text Miner extracts information from unstructured text documents, uncovering themes, concepts, and trends. It enables users to combine quantitative variables with unstructured text, integrating text mining with traditional data mining techniques. The software offers features such as topic detection, sentiment analysis, document clustering, and keyword extraction, transforming raw text into structured data for data-driven decision-making. It is a component of SAS® Enterprise Miner.

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Vendor Details

Automate discovery and insights from unstructured text collections.

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Pillar
Customer Experience & Relationship Management (CX/RM)
Primary SITech Category
Text Analytics
2nd SubCat
Customer Intelligence
3rd SubCat
Trends Analytics
Tech Category
Statistical algorithms, natural language processing (NLP), machine learning, high-performance text mining, multi-threaded text algorithms, in-memory processing, data mining, predictive modeling.
Data Coverage
Social Media Data
News & Editorial Media
Forum & Community Data
Reviews & Ratings Data
Data Sources
X (Twitter)
Online News & Editorial Media
Blogs & Independent Publishing
Forums & Community Boards
Review Platforms
First-Party Data Upload
AI/GenAI Type
Natural Language & Conversational AI
Predictive AI & Analytics
Sentiment & Emotion Analysis AI
Geographic Coverage
Global / Worldwide
Specialized Industries
No items found.
HQ Location
North America

Company Info

SAS Text Miner extracts information from unstructured text documents, uncovering themes, concepts, and trends. It enables users to combine quantitative variables with unstructured text, integrating text mining with traditional data mining techniques. The software offers features such as topic detection, sentiment analysis, document clustering, and keyword extraction, transforming raw text into structured data for data-driven decision-making. It is a component of SAS® Enterprise Miner.