Compare Amazon Comprehend vs. Zepl

Amazon Comprehend is ranked 33rd in Data Science Platforms while Zepl is ranked 32nd in Data Science Platforms. Amazon Comprehend is rated 0, while Zepl is rated 0. On the other hand, Amazon Comprehend is most compared with Amazon SageMaker, whereas Zepl is most compared with Databricks.
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Amazon Comprehend Logo
50 views|46 comparisons
Zepl Logo
74 views|60 comparisons
Ranking
33rd
Views
50
Comparisons
46
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
32nd
Views
74
Comparisons
60
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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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.

Zepl enables data science teams to rapidly explore, analyze and collaborate around their cloud data. In just minutes, Zepl brings machine learning at scale to data scientists, data engineers, data analysts, team managers and executives. Used by high tech, financial services, pharmaceutical, IoT, and automotive companies, Zepl changes the game by automating model-driven insights in a highly secure manner. Zepl rapidly accelerates experimentation, frictionless collaboration, training of ML models, and transforms customers from reactive to proactive enterprises through the use of powerful machine learning insights. Try Zepl for free today at www.zepl.com.

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Sample Customers
LexisNexis, Vibes, FINRA, VidMobSamsung, Boulder, American Express, AT & T, Bank-Of-America, Charles Schwab, Cisco, Citi, Comcast
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: May 2020.
420,062 professionals have used our research since 2012.
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