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About Amazon Comprehend

Amazon Comprehend is a natural language processing software, which makes use of machine learning to look for insights and relationships within a text. The AutoML feature of the software allows users to build a custom set of entities and text models in accordance with their organisation’s needs. The software also allows users to extract information from any unstructured texts like social media posts, web pages and emails along with complex medical information. It can identify medical information like frequencies, dosages, and strengths from various sources like patient’s health records, doctors’ reports, and clinical trial reports. It also helps the users to identify specific terms and part codes. The software only takes charge of those services that the users avail. By using the software, users are subject to get a better understanding of any texts. Users can easily analyze any documents and other texts and organize them according to relevant terms and topics. Amazon Comprehend is a compact software users do not need to use any separate machine learning models to build, train or deploy.

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Screenshots & Videos

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Pricing

Platforms Supported

  • Browser Based (Cloud)

Organization Types Supported

  • All (Small, Medium, Large)
  • Individuals

API Support

  • Available

Modes of Support

  • Online
Amazon Comprehend Pricing

Free Trial

Not available

Pricing Options

Freemium ( Limited Features )

Premium Plans ( Quotation Based )

Pricing Plans

Screenshots of Vendor Pricing Page

Pricing screenshot

Disclaimer: The pricing details were last updated on 18/12/2019 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

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Amazon Comprehend Alternatives

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Amazon Comprehend Reviews

User Rating

4.4/5 (Based on 81 Ratings)

Rating Distribution

  • Excellent

    60.5%
  • Very Good

    23.5%
  • Average

    13.6%
  • Poor

    2.5%
  • Terrible

    0%

User Sentiments

Ease of Use, Seamless AWS Integration, Fast and Efficient Performance, Multilingual Support

Inaccurate Sentiment Analysis, Limited Customization Options, High Cost for Large Datasets, Steep Learning Curve

Do You Use Amazon Comprehend?

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Review Summary

Amazon Comprehend is a highly-rated NLP service praised for its ease of use, integration with other AWS services, and powerful capabilities, such as sentiment analysis, entity recognition, and topic modeling. Users appreciate its minimal setup, ability to handle large datasets, and pre-trained models for multiple languages. Some drawbacks include limited customization, potential accuracy issues with complex text, and cost-effectiveness for smaller businesses. Overall, Amazon Comprehend is a valuable tool for extracting insights from text data, streamlining processes, and making informed decisions.

Pros

  • Amazon Comprehend provides a comprehensive set of services, including natural language processing and medical analysis.
  • It is incredibly easy to use, requiring minimal setup and allowing for quick analysis of text data.
  • Amazon Comprehend is highly scalable and can handle vast volumes of text data, making it suitable for largescale projects.

Cons

  • The accuracy of Amazon Comprehend can be inconsistent, especially when analyzing complex or nuanced text data.
  • The pricing model can be expensive, especially for analyzing large volumes of data, potentially limiting its affordability for smaller businesses.
  • Customizability is limited, as users cannot train their own models, making it less flexible for highly specific NLP tasks.

Amazon Comprehend Reviews

AI-Generated from the text of User Reviews

Videos on Amazon Comprehend

Amazon Comprehend FAQs

What are the top alternatives for Amazon Comprehend?

Does Amazon Comprehend provide API?

Yes, Amazon Comprehend provides API.

Amazon Comprehend Contact

Vendor Details

Seattle, Washington

Contact Details

Not available

https://aws.amazon.com/comprehend/

Social Media Handles

Not available

Customers

LexisNexis
Fred Hutchinson
Vibes
Roche
FINRA

Disclaimer

This research is curated from diverse authoritative sources; feel free to share your feedback at feedback@saasworthy.com

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