SAS Text Miner Description
Extract information from text documents and discover the themes and concepts hidden in them. SAS Text Miner allows you to combine quantitative variables and unstructured text, and thereby integrate text mining with traditional data mining techniques. SAS Text Miner is part of SAS® Enterprise Miner. SAS Enterprise Miner must also be installed on the same computer. SAS High-Performance Text Mining can be run on a computer grid, or a single computer system that has multiple CPUs. Text algorithms are multi-threaded, and run in-memory. This increases responsiveness, concurrency, and reduces I/O burden. It can be accessed as nodes in the SAS High-Performance Data Mining environment, or as two procedures PROC HPTTMINE and PROC HPTTMSCORE. Take a course with the analytics experts to learn SAS technology quickly and efficiently.
SAS Text Miner Alternatives
WordStat
WordStat is an easy-to-use and flexible text analysis software. It can be used for text mining tools to quickly extract themes and trends or precise measurement using state-of-the art quantitative content analysis tools. WordStat is available to anyone who needs to quickly extract information from large numbers of documents. Our text mining and content analysis software can be used for many purposes, including analysis of open-ended answers, business intelligence, analysis of news coverage, fraud detection, and more. WordStat's seamless integration to SimStat – our statistical data analysis tool – QDA Miner, our qualitative data analysis program - and Stata, the comprehensive statistical software by StataCorp, allows you unprecedented flexibility in analyzing text and linking it to structured information, including numerical data.
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Google Cloud Natural Language API
Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.
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PolyAnalyst
PolyAnalyst, a data analysis tool, is used by large companies in many industries (Insurance Manufacturing, Finance, etc.). It uses a visual composer to simplify complex data analysis modeling instead of programming/coding. This is one of its most distinctive features. It can combine structured and poly-structured data for unified analysis (multiple-choice questions and open ended responses), and it can process text data from over 16+ languages. PolyAnalyst provides many features to meet comprehensive data analysis requirements, including the ability to load data, cleanse and prepare data for analysis, deploy machine learning and supervised analytics techniques, and create reports that non-analysts may use to uncover insights.
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Delighted
Delighted is a turnkey platform for customer experience that helps high-growth companies and established enterprises such as Allbirds, Instacart and Invision, Opentable and Affirm to improve customer loyalty through actionable feedback.
Customer feedback can be incorporated into your business strategy within minutes, not weeks.
Easily customize NPS, CSAT and CES survey templates in Delighted
- Send surveys directly to customers via email, SMS text, in app, or link URL.
- Create 2-click integrations: Set up surveys and integrate real-time feedback in your existing toolset, such as e.g. Slack, Salesforce and Shopify, Stripe, Hubspot and many more
- Surface trends that need immediate attention using AI-driven survey text analysis and pre-built reports.
- Get immediate action with email digests and alerts that you can customize by department so that feedback reaches the people who can make a difference
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Integrations
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Company Details
Company:
SAS Institute
Year Founded:
1976
Headquarters:
United States
Website:
support.sas.com/en/software/text-miner-support.html
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Product Details
Platforms
SaaS
Type of Training
Documentation
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SAS Text Miner Features and Options
Text Mining Software
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
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