Amazon Comprehend Description

Amazon Comprehend is an innovative natural language processing (NLP) tool that employs machine learning techniques to extract valuable insights and connections from text without requiring any prior machine learning knowledge.

Your unstructured data holds a wealth of possibilities, with sources like customer emails, support tickets, product reviews, social media posts, and even advertising content offering critical insights into customer sentiments that can drive your business forward. The challenge lies in how to effectively tap into this rich resource. Fortunately, machine learning excels at pinpointing specific items of interest within extensive text datasets—such as identifying company names in analyst reports—and can also discern the underlying sentiments in language, whether that involves recognizing negative reviews or acknowledging positive interactions with customer service representatives, all at an impressive scale.

By leveraging Amazon Comprehend, you can harness the power of machine learning to reveal the insights and relationships embedded within your unstructured data, empowering your organization to make more informed decisions.

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Integrations

API:
Yes, Amazon Comprehend has an API
View Integrations

Reviews - 1 Verified Review

Total
ease
features
design
support
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Company Details

Company:
Amazon
Year Founded:
1994
Headquarters:
United States
Website:
aws.amazon.com/comprehend/

Media

Play Video Amazon Comprehend Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

Amazon Comprehend Features and Options

Natural Language Processing Software

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Text Mining Software

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Amazon Comprehend User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Senior Software Engineer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: Administrator, Deployment
    Organization Size: 26 - 99
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Not Worth the Cost

    Date: Sep 02 2025

    Summary: Would not recommend for anyone needing to process large amounts of documents for classification, where cost is a factor.

    Positive: Very easy to setup and train models. Endpoint were very easy to configure and get running. Built for developer ease of use.

    Negative: The cost is outrageous. Most AWS products are reasonable in terms of cost especially their AI products. This one is so prohibitive we will be moving our infrastructure to another system. The costly part is their endpoints with cost as long as they are running. Our system needs to have 24/7 availability and was doing document analysis on 1000s of emails and documents per day. The cost for a single endpoint was ~$3400 USD. Very little traffic was being used by that endpoint at the time. AWS charged for total time not token based usage. Which made the costs skyrocket. Please avoid to save yourself money unless you can standup the endpoints and take them down frequently.

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