Compare Amazon Comprehend vs. WPS Analytics

Amazon Comprehend is ranked 33rd in Data Science Platforms while WPS Analytics is ranked 28th in Data Science Platforms. Amazon Comprehend is rated 0, while WPS Analytics is rated 0. On the other hand, Amazon Comprehend is most compared with Amazon SageMaker, whereas WPS Analytics is most compared with Alteryx, Databricks and Analance.
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Amazon Comprehend Logo
24 views|20 comparisons
WPS Analytics Logo
236 views|183 comparisons
Ranking
33rd
Views
24
Comparisons
20
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
28th
Views
236
Comparisons
183
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: May 2020.
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Top Comparisons
Compared 100% of the time.
Compared 29% of the time.
Compared 26% of the time.
Compared 23% of the time.
Also Known As
World Programming System, WPS
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Amazon
World Programming
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.

WPS is used in production on a huge range of systems at sites around the world. Thousands of analysts are using WPS in their daily data processing and analysis tasks, and thousands more rely on the heavy-lifting ability of WPS overnight and scheduled processing to deliver the information they require. Customers are able to choose to run WPS software on IBM z/OS Mainframes, servers and workstations running UNIX, Linux, Solaris, AIX, macOS and the full range of Microsoft Windows operating systems to fit in with existing or planned infrastructure.

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Sample Customers
LexisNexis, Vibes, FINRA, VidMob
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Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: May 2020.
418,116 professionals have used our research since 2012.
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