StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Product

  • Stacks
  • Tools
  • Companies
  • Feed

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy Policy
  • Terms of Service

© 2025 StackShare. All rights reserved.

API StatusChangelog
Amazon Comprehend
ByAmazon-mksAmazon-mks

Amazon Comprehend

#11in Text & Language Models
Discussions0
Followers138
OverviewDiscussions

What is Amazon Comprehend?

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.

Amazon Comprehend is a tool in the Text & Language Models category of a tech stack.

Key Features

Keyphrase extractionSentiment analysisEntity recognitionLanguage detectionTopic modelingMultiple language support

Amazon Comprehend Pros & Cons

Pros of Amazon Comprehend

No pros listed yet.

Cons of Amazon Comprehend

  • ✗Multi-lingual

Amazon Comprehend Alternatives & Comparisons

What are some alternatives to Amazon Comprehend?

SpaCy

SpaCy

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.

Transformers

Transformers

It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.

rasa NLU

rasa NLU

rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

Gensim

Gensim

It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

Google Cloud Natural Language API

Google Cloud Natural Language API

You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.

FastText

FastText

It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.

Amazon Comprehend Integrations

Amazon S3, Camunda are some of the popular tools that integrate with Amazon Comprehend. Here's a list of all 2 tools that integrate with Amazon Comprehend.

Amazon S3
Amazon S3
Camunda
Camunda

Try It

Visit Website

Adoption

On StackShare

Companies
16
OSAJAA+10
Developers
37
AAYTNW+31