AWS SDK for JavaScript Comprehend Client for Node.js, Browser and React Native
AWS Comprehend Interface
A constrcut for PII and redaction scenarios with Amazon Comprehend and S3 Object Lambda
AWS Comprehend Medical integration for Gravity workflow system - extract medical entities and PHI from clinical text
A powerful text analytics library that provides easy integration with AWS Comprehend and Azure Text Analytics for language detection, sentiment analysis, entity recognition, and key phrase extraction.
Bot Framework middleware component for the Amazon AWS Comprehend service, including sentiment analysis, language detection, entity extraction, and keyword recognition.
DataFire integration for Amazon Comprehend
Integration of comprehend.dev with OpenTelemetry in Node.js and similar environemnts.
Integration of comprehend.dev with OpenTelemetry in browser environments.
DataFire integration for AWS Comprehend Medical
A flow-node to connect to the comprehend API
AWS SDK for JavaScript Comprehend Client for Node.js, Browser and React Native
AWS SDK for JavaScript Comprehendmedical Client for Node.js, Browser and React Native
A plugin for Axway API Builder
The logger for Antora.
Senti is an extensible framework for sentiment analysis and NLP on media sources. It comes with providers for the [Twitter API](https://developer.twitter.com/) and [NewsAPI](https://newsapi.org). The framework uses [AWS Comprehend](https://aws.amazon.com/
AWS SDK for JavaScript Comprehend Client for Node.js, Browser and React Native
To fully grasp the power of the mike-admin toolkit you must spend years training with ninja masters. Only then will you be able to begin to comprehend the ultimate power.
A plugin for Axway API Builder
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AWS SDK for JavaScript Application Auto Scaling Client for Node.js, Browser and React Native
Pipedream Gitlab Components
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A development tool for filtering and visualizing import paths within a JavaScript/TypeScript application
Python like list, set and hashmap comprehensions via macros.
Comprehend service implementation for winterbaume
AWS SDK for Amazon Comprehend
AWS SDK for Rust - Amazon Comprehend @ 2017-11-27
AWS SDK for Rust - Amazon Comprehend @ 2017-11-27
AWS Comprehend NLP emulator for AWSim
Copy & Redact cli tool to securely copy and redact files removing Personal Identifiable Information (PII) across various filesystems.
AWS SDK for AWS Comprehend Medical
AWS SDK for Rust - AWS Comprehend Medical @ 2018-10-30
AWS SDK for Rust - AWS Comprehend Medical @ 2018-10-30
Create and print dates in Freedom Format.
Mock AWS services for local development and testing
Official AWS Ruby gem for Amazon Comprehend. This gem is part of the AWS SDK for Ruby.
[1,2,3].comprehend{ |i| i.to_s if i<3 } == ["1","2"]
Built-in NLP for Stealth bots via AWS Comprehend.
Kekka is a parser of the XML format XRR (XML Regatta Reporting: http://www.sailing.org/xml .) It accepts XML on this format and sorts it in boat, event and result hashes.
Provided Client-object to detect the sentiment of provided word/words by Aws::Comprehend API
Official AWS Ruby gem for AWS Comprehend Medical (ComprehendMedical). This gem is part of the AWS SDK for Ruby.
I have already explained everything you need to know. But the voices in my head tell me this must be longer than the first message, and so it shall be that way.
Kaitai Struct is a declarative language used for describe various binary data structures, laid out in files or in memory: i.e. binary file formats, network stream packet formats, etc. The main idea is that a particular format is described in Kaitai Struct language (.ksy file) and then can be compiled with ksc into source files in one of the supported programming languages. These modules will include a generated code for a parser that can read described data structure from a file / stream and give access to it in a nice, easy-to-comprehend API. This package provides small runtime library used by code generated by Kaitai Struct compiler.
Kaitai Struct is a declarative language used for describe various binary data structures, laid out in files or in memory: i.e. binary file formats, network stream packet formats, etc. The main idea is that a particular format is described in Kaitai Struct language (.ksy file) and then can be compiled with ksc into source files in one of the supported programming languages. These modules will include a generated code for a parser that can read described data structure from a file / stream and give access to it in a nice, easy-to-comprehend API. This package is a visualizer tool for .ksy files. Given a particular binary file and .ksy file(s) that describe its format, it can visualize internal data structures in a tree form and a multi-level highlight hex viewer.
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