Overview
Product Information on Amazon Comprehend
What is Amazon Comprehend?
Amazon Comprehend Pricing
Overall experience with Amazon Comprehend
“Comprehend Delivers Ready-Made NLP but Struggles With Complex Industry Data”
“Document Size Restriction Limits In-Depth Analysis to Only 5,000 Bytes”
About Company
Company Description
Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.
Company Details
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
User Sentiment About Amazon Comprehend
Reviewer Insights for: Amazon Comprehend
Deciding Factors: Amazon Comprehend Vs. Market Average
Performance of Amazon Comprehend Across Market Features
Amazon Comprehend Likes & Dislikes
1. The deployment process is effortless as it provides ready-made NLP services without needing to train the models. 2. It has a deep integration with the AWS ecosystem making its inclusion seamless if your company is already using AWS features. 3. Comprehend allows the user to train custom models based on your company's own data.
Read Full Review1. Ease of use and concept 2. Cool features: sentiment analysis, entity recognition, key phrase extraction, etc. 3. Ability to work seamlessly with other AWS products
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1. It has limited depth and nuance 2. It offers little visibility into how predictions are made, making debugging or improving model performance difficult 3. Without custom training, it struggles with industry-specific language
Read Full Review1. Sometimes AWS datamodeling is hard to understand for someone who is not too familiar with backend coding/data architecture 2. Billing was a little bit confusing for me
Read Full ReviewTop Amazon Comprehend Alternatives
Peer Discussions
Amazon Comprehend Reviews and Ratings
- DATA AND ANALYTICS MANAGER50M-1B USDSoftwareReview Source
Comprehend Delivers Ready-Made NLP but Struggles With Complex Industry Data
Comprehend delivers dependable, usable NLP features like entity extraction and sentiment analysis with minimal setup. However, it struggles with deeper language nuances and industry-specific understanding (like Insurance), making it less effective for complex tasks. - DATA ANALYST50M-1B USDBankingReview Source
AWS Comprehend Offers Useful Tools Despite Complex Datamodeling for Some
I was an AWS Comprehend user when I was a program manager at AWS. It was a good product even at an early stage with really cool features. I just always struggle with how complex the data model at AWS seems to be for end users. - SENIOR DATA ENGINEER50M-1B USDSoftwareReview Source
Accurate Pii Data Identification Offset by Limited Documentation Availability
I have used this product when I was exploring to mask Pii data. it does a pretty good job in detecting Pii data - DATA AND ANALYTICS - SR. ANALYST1B-10B USDConsumer GoodsReview Source
Integration with AWS Services Supports Enterprise-Scale Analytics and Automation Workflows
It's a powerful Natural Language Processing service that enables us to extract insight, detect sentiments and identify entities from large volumes of unstructured text. Its integration with other AWS Integration services such as Redshift makes it a natural fit for enterprise-scale data analytics workflows. - ASSOCIATE PROFESSORGov't/PS/EdEducationReview Source
Document Size Restriction Limits In-Depth Analysis to Only 5,000 Bytes
The main reason for my average overall experience is that a single document analysis is limited to 5,000 bytes. This means that I have to break up larger documents. On the other hand it is good to have more options when it comes to large language models.