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Amazon Comprehend

Discover insights and relationships in text
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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 NLP / Sentiment Analysis category of a tech stack.

Who uses Amazon Comprehend?

Companies
9 companies reportedly use Amazon Comprehend in their tech stacks, including Shelf, AfricanStockPhoto, and Atrium.

Developers
5 developers on StackShare have stated that they use Amazon Comprehend.

Why developers like Amazon Comprehend?

Here’s a list of reasons why companies and developers use Amazon Comprehend
Top Reasons
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Amazon Comprehend's Features

  • Keyphrase extraction
  • Sentiment analysis
  • Entity recognition
  • Language detection
  • Topic modeling
  • Multiple language support

Amazon Comprehend Alternatives & Comparisons

What are some alternatives to Amazon Comprehend?
IBM Watson
It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.
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.
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.
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.
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.
See all alternatives

Amazon Comprehend's Followers
15 developers follow Amazon Comprehend to keep up with related blogs and decisions.
praveen kumar
wen jie sing
Arun Kumar
Tamilvanan P
Reed Hhw
Thuy Tran
Yatin Chawla
Pete Doyle
oliverio-kununu
MohammadAsh15