Vetted Score
4.6
/ 5.0
Earns a high score for its scalability, extensive language support, and seamless integration with other AWS services.
Key Features
Entity Recognition
Automatically identifies people, places, brands, and other entities within unstructured text.
Sentiment Analysis
Determines the overall sentiment (positive, negative, neutral, mixed) of documents and social media content.
Custom Classification
Allows training of custom models to categorize text according to domain‑specific labels.
Frequently Asked Questions
Yes, AWS offers a free tier of 50,000 units per month for the first 12 months, after which standard pay‑as‑you‑go rates apply.
Amazon Comprehend can be accessed via AWS SDKs for Python (boto3), Java, JavaScript, .NET, Go, Ruby, and more, as well as through direct REST API calls.
Yes, the Custom Classification feature lets you upload labeled datasets to train models tailored to your specific business needs.
Featured Lists & Comparisons
Top 20 Alternatives to Microsoft Azure Text Analytics in Text Analysis Software
Top 20 Alternatives to MonkeyLearn in Text Analysis Software
Top 20 Alternatives to Orange Text Mining in Text Analysis Software
Top 20 Alternatives to spaCy in Text Analysis Software
Top 20 Alternatives to Leximancer in Text Analysis Software
Top 20 Alternatives to IBM Watson Natural Language Understanding in Text Analysis Software
Top 20 Alternatives to MeaningCloud in Text Analysis Software
Top 20 Alternatives to Google Cloud Natural Language in Text Analysis Software
Top 20 Alternatives to IBM SPSS Text Analytics for Surveys in Text Analysis Software
Top 20 Alternatives to NLTK in Text Analysis Software
Specifications
Pricing Model
Pay-as-you-go pricing based on units processed, with a free tier of 50,000 units per month for the first 12 months.
Supported Platforms
Web (AWS Management Console)AWS SDKs for Windows, macOS, LinuxREST API