SAS Visual Text Analytics
SAS Visual Text Analytics: An enterprise text-analysis suite for modeling, classification and SAS workflow integration. Ranked #2 of 27 in Text Analysis Software by our editors (9.1/10); pricing: Pricing on request; best for large organizations building text analytics workflows.
At a glance
- Editor score9.1 / 10
- PricingPricing on request
- Best forLarge organizations building text analytics workflows
- Sentiment analysisYes
- Facts checked24 Sep 2026
Where it wins
- Combines parsing, sentiment, topics, classification and entity extraction
- Visual interfaces support creation and management of text models
- Integrates results with broader SAS analytics workflows
Where it doesn't
- Designed for SAS Viya environments rather than a standalone open-source stack
- Sales-led purchasing may require direct vendor engagement
- Enterprise-oriented scope may exceed the needs of small teams
Our verdict on SAS Visual Text Analytics
SAS Visual Text Analytics is text-analysis software within the SAS platform, built for organizations working with large collections of unstructured content. It applies linguistic processing and machine-learning techniques to customer feedback, case records, documents and similar text. Analysts can classify documents, discover topics, extract named entities and assess sentiment, making the product relevant to mid-market and enterprise teams that need repeatable text analytics workflows.
A central strength is the combination of visual model-building interfaces with integration into SAS analytics workflows. Analysts can create and manage text models through visual tools, then use the resulting analysis within broader SAS processes. The feature set spans text parsing and linguistic analysis, sentiment analysis, topic discovery and modeling, document categorization, classification and named-entity extraction. That breadth suits teams that need several text-analysis methods in one SAS-centered environment rather than a narrowly focused sentiment or topic tool.
The product is deployed through SAS Viya environments, so it fits organizations already standardizing text work within SAS. Its enterprise orientation and broad modeling scope may be more than a small team needs, particularly when the requirement is a lightweight standalone tool. SAS Visual Text Analytics is also not open source, and purchasing is handled through SAS sales channels. Choose it when a large organization needs visual text modeling tied to SAS workflows; consider a more focused or independently deployable option when SAS integration and multi-method analysis are not priorities.
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SAS Visual Text Analytics pricing
SAS Visual Text Analytics fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Sentiment analysis | Yes |
| Topic modeling | Yes |
| Entity extraction | Yes |
| Supported languages | Not verified |
| Text input sources | Not verified |
| Export formats | Not verified |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Pricing | Pricing on request |
| Website | sas.com |
| Facts checked | 24 Sep 2026 |
Alternatives to SAS Visual Text Analytics
- MAXQDADesktop analysis for teams combining qualitative research with text and statistical methods.9.3
- ATLAS.tiA multimodal research workspace with AI analysis, transcription, and collaboration.8.8
- WordStatA broad desktop text-analysis toolkit for research teams working with unstructured text.8.6
See all SAS Visual Text Analytics alternatives →
SAS Visual Text Analytics vs the competition
- SAS Visual Text Analytics vs MAXQDA
- SAS Visual Text Analytics vs ATLAS.ti
- SAS Visual Text Analytics vs WordStat
- SAS Visual Text Analytics vs QDA Miner
- SAS Visual Text Analytics vs Lexalytics
- SAS Visual Text Analytics vs Chattermill
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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