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SAS Visual Text Analytics

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Company health

Employee growth
7% increase in the last year
Web traffic
10% decrease in the last quarter
Financing
July 2022 - $1M

Ratings

G2
4.7/5
(63)

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.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Ease of Use

Strongly positive
+1

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.

Pros of SAS Visual Text Analytics
  • 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.
Cons of SAS Visual Text Analytics
  • 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.

See the SAS Visual Text Analytics pricing page.


SAS Visual Text Analytics alternatives

  • Logo of Verint Text Analytics
    Verint Text Analytics
    Uncovers customer insights from text, improving experiences.
    Read more
  • Logo of Discovery
    Discovery
    AI-powered product analytics for data-driven decisions and growth.
    Read more
  • Logo of Canvs AI
    Canvs AI
    Uncovers hidden insights from text feedback, revealing what customers truly think.
    Read more
  • Logo of NetOwl TextMiner
    NetOwl TextMiner
    Finds hidden connections in text, revealing valuable insights.
    Read more
  • Logo of Unity Catalog
    Unity Catalog
    Shared data governance for open, reliable data access.
    Read more
  • Logo of Databricks Data Intelligence Platform
    Databricks Data Intelligence Platform
    Unified data platform for analytics, AI, and data science.
    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

MK
Michal Kaczor
CEO at Gralio

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.

TT
Tymon Terlikiewicz
CTO at Gralio

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.

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