Last updated on
Company health
Ratings
SAS Visual Text Analytics description
SAS Visual Text Analytics helps businesses uncover insights from large volumes of text data like emails, surveys, and social media posts. It uses artificial intelligence and natural language processing to automatically identify topics, trends, and sentiment. This helps businesses make sense of customer feedback, track brand reputation, and support decision making. The software provides tools for data visualization, model building, and sharing findings with colleagues.
Who is SAS Visual Text Analytics best for
SAS Visual Text Analytics helps large organizations analyze text data. Users praise its user-friendly interface, powerful NLP models, and efficient handling of large datasets. However, some note the high cost and complex setup. It's ideal for uncovering insights from customer feedback and social media.
-
Best for medium to large businesses needing text analysis.
-
Ideal for sectors with high text data volume (e.g., telco, government).
SAS Visual Text Analytics features
| Supported SAS Visual Text Analytics supports sentiment analysis, categorizing text as positive, negative, or neutral. |
| Supported SAS Visual Text Analytics automates data analysis with tools for text analysis, sentiment analysis, and pattern identification. |
| Supported Keyphrase extraction is supported through advanced text analysis features. |
| Supported SAS Visual Text Analytics supports language detection for multiple languages. |
| Supported SAS Visual Text Analytics supports topic modeling using methods like SVD and LDA. |
| Supported SAS Visual Text Analytics supports entity recognition, including people and locations. |
We evaluate the sentiment that users express about non-functional aspects of the software
Ease of Use
SAS Visual Text Analytics reviews
We've summarised 63 SAS Visual Text Analytics reviews (SAS Visual Text Analytics G2 reviews) and summarised the main points below.
- User-friendly interface and ease of use for data visualization and analysis.
- Powerful pre-built NLP models for sentiment analysis, topic extraction, and text categorization.
- Efficient handling of large datasets and real-time analysis capabilities.
- Interactive dashboards and reporting features for effective communication of insights.
- Seamless integration within the SAS ecosystem.
- High licensing cost and complex initial setup are common concerns.
- Limited availability of learning resources and documentation.
- Challenges integrating with non-SAS products.
- Difficulty customizing for specific scenarios and limited multilingual support.
SAS Visual Text Analytics pricing
The commentary is based on 15 reviews from SAS Visual Text Analytics G2 reviews.
SAS Visual Text Analytics is a powerful tool praised for its text analysis capabilities and interactive visualizations. However, reviews consistently mention its high licensing cost and complex setup as significant drawbacks. Potential users should carefully weigh these factors against their budget and technical expertise.
SAS Visual Text Analytics alternatives
ChattermillBetter for prioritizing customer experience improvements. Geared towards CX leaders and insights teams. More focused on e-commerce, software, and marketing. Has more website traffic momentum.Read more
RosetteOffers sentiment analysis in more languages. SAS Visual Text Analytics is growing faster. Rosette has less momentum.Read more
Canvs AIBetter suited for market research and customer experience teams. Has more momentum in terms of employee growth. Focuses on nuanced emotion categorization and AI-powered summaries.Read more
KapicheBetter for analyzing customer feedback and measuring its impact on customer experience metrics. Focuses on automated theme discovery and pain point identification. More suitable for medium-sized businesses.Read more
VizRefraBetter fit for Education and Software/IT. Has a steeper learning curve and higher pricing. Offers map visualization and automated pattern identification. Growing faster.Read more
SAP HANA CloudBetter for structured data and real-time analytics. A broader industry fit, but a steeper learning curve and potentially higher costs as a SAS Visual Text Analytics competitor.Read more
SAS Visual Text Analytics FAQ
What is SAS Visual Text Analytics and what does SAS Visual Text Analytics do?
SAS Visual Text Analytics uses AI and NLP to analyze large text datasets, uncovering insights from sources like social media and surveys. It identifies topics, trends, and sentiment, enabling data-driven decisions. It offers visualization, model building, and sharing capabilities.
How does SAS Visual Text Analytics integrate with other tools?
SAS Visual Text Analytics integrates seamlessly within the SAS ecosystem. However, users report challenges integrating with non-SAS products, which may limit its flexibility for some organizations. It's best suited for businesses already invested in the SAS environment.
What the main competitors of SAS Visual Text Analytics?
Top alternatives to SAS Visual Text Analytics include Chattermill, Rosette, VizRefra, Canvs AI, Kapiche, and Quid. These competitors offer similar text analytics capabilities, often with a focus on specific use cases like customer feedback analysis or market research.
Is SAS Visual Text Analytics legit?
Yes, SAS Visual Text Analytics is a legitimate software. It's known for its user-friendly interface and powerful NLP models, enabling efficient analysis of large text datasets. However, potential users should be aware of the high licensing cost and complex setup.
How much does SAS Visual Text Analytics cost?
I cannot find pricing information for SAS Visual Text Analytics. Contact SAS sales for a customized quote based on your specific needs and the product features you are interested in.
Is SAS Visual Text Analytics customer service good?
SAS Visual Text Analytics customer service receives positive feedback. Users highlight the platform's user-friendliness and intuitive design, contributing to a positive customer experience. While external resources are limited, the software's ease of use often mitigates this issue.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.