Compare Amazon Comprehend vs. SAS Visual Data Mining and Machine Learning

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Ranking
24th
Views
551
Comparisons
515
Reviews
0
Average Words per Review
0
Rating
N/A
25th
Views
494
Comparisons
407
Reviews
0
Average Words per Review
0
Rating
N/A
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Also Known As
Visual Data Mining and Machine Learning
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Overview

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.

There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale.

Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. The service identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; analyzes text using tokenization and parts of speech; and automatically organizes a collection of text files by topic. You can also use AutoML capabilities in Amazon Comprehend to build a custom set of entities or text classification models that are tailored uniquely to your organization’s needs.

For extracting complex medical information from unstructured text, you can use Amazon Comprehend Medical. The service can identify medical information, such as medical conditions, medications, dosages, strengths, and frequencies from a variety of sources like doctor’s notes, clinical trial reports, and patient health records. Amazon Comprehend Medical also identifies the relationship among the extracted medication and test, treatment and procedure information for easier analysis. For example, the service identifies a particular dosage, strength, and frequency related to a specific medication from unstructured clinical notes.

Amazon Comprehend is fully managed, so there are no servers to provision, and no machine learning models to build, train, or deploy. You pay only for what you use, and there are no minimum fees and no upfront commitments.

SAS Visual Data Mining and Machine Learning combines data wrangling, data exploration, visualization, feature engineering, and modern statistical, data mining and machine learning techniques all in a single, scalable in-memory processing environment. This provides faster, more accurate answers to complex business problems, increased deployment flexibility and one easy-to-administer and fluid IT environment.

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Sample Customers
LexisNexis, Vibes, FINRA, VidMob
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Top Industries
VISITORS READING REVIEWS
Computer Software Company23%
Media Company19%
Comms Service Provider9%
Healthcare Company7%
VISITORS READING REVIEWS
Computer Software Company25%
Comms Service Provider13%
Financial Services Firm11%
Media Company11%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: March 2021.
475,129 professionals have used our research since 2012.

Amazon Comprehend is ranked 24th in Data Science Platforms while SAS Visual Data Mining and Machine Learning is ranked 25th in Data Science Platforms. Amazon Comprehend is rated 0.0, while SAS Visual Data Mining and Machine Learning is rated 0.0. On the other hand, Amazon Comprehend is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio and IBM Watson Studio, whereas SAS Visual Data Mining and Machine Learning is most compared with SAS Enterprise Miner, Microsoft Azure Machine Learning Studio, SAS Visual Analytics, WPS Analytics and Alteryx.

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