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Amazon Comprehend vs Google Cloud Datalab comparison

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564,643 professionals have used our research since 2012.
Ranking
23rd
Views
919
Comparisons
852
Reviews
0
Average Words per Review
0
Rating
N/A
16th
Views
3,447
Comparisons
3,034
Reviews
1
Average Words per Review
303
Rating
8.0
Comparisons
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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.

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

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Sample Customers
LexisNexis, Vibes, FINRA, VidMob
Information Not Available
Top Industries
VISITORS READING REVIEWS
Computer Software Company24%
Media Company17%
Comms Service Provider11%
Insurance Company6%
VISITORS READING REVIEWS
Comms Service Provider25%
Computer Software Company18%
Financial Services Firm12%
Retailer8%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2022.
564,643 professionals have used our research since 2012.

Amazon Comprehend is ranked 23rd in Data Science Platforms while Google Cloud Datalab is ranked 16th in Data Science Platforms with 1 review. Amazon Comprehend is rated 0.0, while Google Cloud Datalab is rated 8.0. On the other hand, the top reviewer of Google Cloud Datalab writes "Stable, feature-rich, and easy to set up". Amazon Comprehend is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio and IBM Watson Studio, whereas Google Cloud Datalab is most compared with Databricks, IBM Watson Studio, Microsoft Azure Machine Learning Studio, Domino Data Science Platform and Tableau.

See our list of best Data Science Platforms vendors.

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