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About

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data.

About

spaCy is designed to help you do real work, build real products, or gather real insights. The library respects your time and tries to avoid wasting it. It's easy to install, and its API is simple and productive. spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. If your application needs to process entire web dumps, spaCy is the library you want to be using. Since its release in 2015, spaCy has become an industry standard with a huge ecosystem. Choose from a variety of plugins, integrate with your machine learning stack, and build custom components and workflows. Components for named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking, and more. Easily extensible with custom components and attributes. Easy model packaging, deployment, and workflow management.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations that want a powerful solution that lets them discover insights and relationships in text

Audience

Developers requiring a solution to build products, custom components and workflows while gathering insights

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/comprehend/

Company Information

spaCy
Founded: 2015
United States
spacy.io

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek

Categories

Categories

Integrations

Datasaur
AWS Lambda
Amazon Comprehend Medical
Amazon S3
Amazon Web Services (AWS)
Axon Ivy
Camunda
Comet LLM
FormKiQ
Mantium
PubNub
PyTorch
Qlik Staige
Quickwork
Spark NLP
Steamship
TeamStation
TensorFlow
iText
n8n

Integrations

Datasaur
AWS Lambda
Amazon Comprehend Medical
Amazon S3
Amazon Web Services (AWS)
Axon Ivy
Camunda
Comet LLM
FormKiQ
Mantium
PubNub
PyTorch
Qlik Staige
Quickwork
Spark NLP
Steamship
TeamStation
TensorFlow
iText
n8n
Claim Amazon Comprehend and update features and information
Claim Amazon Comprehend and update features and information
Claim spaCy and update features and information
Claim spaCy and update features and information