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Amazon Comprehend

Tekpon Score
8.9

Amazon Comprehend Reviews

& Product Details

What is Amazon Comprehend?

Amazon Comprehend is a Natural language processing (NLP) tool that helps businesses analyze customers’ sentiments and gain insights from texts. In other words, it can extract and interpret insights from text. It utilizes built-in OCR and NLP capabilities to extract text from support tickets, documents, emails, reviews, and social media feeds and classify that data based on sentiment, keywords, entities, and more.

Its main features are Entity Recognition, Custom Classification, Sentiment Analysis, PII Identification & Redaction, Keyphrase Extraction, Events Detection, Language Detection, Syntax Analysis, Topic Modelling, and more APIs to integrate NLP into your apps quickly.

Some use cases are mine business & call center analytics, index & search product reviews, legal briefs management, and process financial documents.

Found in these Categories

Best For

Derive & understand valuable insights from text within documents.
  • StartUps
  • Freelancers
  • Small Business
  • Medium Business
  • Large Enterprise
  • Non-profit Organization
  • Personal
  • Cloud, SaaS, Web-Based
  • Mobile - Android
  • Mobile - iPhone
  • Mobile - iPad
  • Desktop - Mac
  • Desktop - Windows
  • Desktop - Linux
  • Desktop - Chromebook
  • On-Premise - Windows
  • On-Premise - Linux
  • Company Name

    Amazon Web Services (AWS)

  • Located In

    United States

  • Website

    aws.amazon.com

Starting from:

Custom

Pricing Model: Subscription

  • Free Trial
  • Free Version

Pricing Details:

Amazon Comprehend pricing is fully customizable. You can use the AWS pricing calculator or request a pricing quote. Furthermore, you can start Free and upgrade as you grow. The Free tier includes 50K units of text (5M characters) per API per month.

  • API
  • Data Connectors
  • Deep Learning
  • Intent Recognition
  • Machine Learning
  • Modeling & Simulation
  • Natural Language Search

Additional Features

  • Image Editing
  • Sentiment Analysis
  • Text Analysis
  • Text Extraction

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