Do I need machine learning experience to use it?

No, it is a fully managed service with pre-trained models accessible via API, though you can train custom models if needed.

Can it process scanned documents?

Yes, through integration with Amazon Textract, it can analyze text from PDF and image files.

How does pricing work?

You are charged based on the amount of text processed, measured in characters (grouped into units) for each analysis type.

Is my data used to train Amazon's models?

By default, AWS may use content to improve services, but users can opt-out using AWS Organizations policies to ensure data privacy.

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Document analysis

Freemium

Amazon Comprehend

A fully managed NLP service that uses machine learning to uncover insights, sentiment, and relationships within unstructured text and documents.

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Rating

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3 months ago

Listed

Document analysis

NLP

Sentiment analysis

Entity recognition

Text analytics

Machine learning

Data extraction

Business intelligence

Language detection

Topic modeling

Tool information

Provider

Amazon Web Services (AWS)

Platforms

Web

API

Languages

English

French

German

Italian

Portuguese

Spanish

Japanese

Korean

Chinese (Simplified)

Chinese (Traditional)

Arabic

Hindi

API Available

Yes

Added to directory

3 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Freemium

About Amazon Comprehend

What the tool does and who it's for

Amazon Comprehend is a fully managed natural language processing (NLP) service that uses machine learning to find insights and relationships in text. It provides capabilities such as sentiment analysis, entity recognition, key phrase extraction, language detection, and topic modeling. The service is designed to help organizations process large volumes of unstructured data—such as emails, social media feeds, and support tickets—to uncover hidden patterns and improve decision-making without requiring extensive machine learning expertise.

Key capabilities

Entity Recognition: Automatically identifies names, places, brands, and dates in text.

Sentiment Analysis: Determines the emotional tone of text as positive, negative, neutral, or mixed.

Key Phrase Extraction: Identifies the main talking points and noun phrases in a document.

Language Detection: Automatically detects text in over 100 languages.

PII Detection: Locates and redacts personally identifiable information to ensure data privacy.

Topic Modeling: Clusters large document sets into common themes and topics.

Syntax Analysis: Identifies parts of speech like nouns and verbs for deeper linguistic study.

Custom Classification: Allows users to train models to categorize text based on specific business needs.

Targeted Sentiment: Provides sentiment analysis specifically for identified entities within the text.

Document Splitting: Supports analysis of complex PDF, Word, and image files directly.

Pricing

Freemium — plans below

AWS Free Tier

50,000 units of text (5M characters) for Entity Recognition per month
50,000 units for Sentiment Analysis per month
50,000 units for Key Phrase Extraction per month
12-month introductory period

Pay As You Go

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