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Document Understanding Solution ⭐ 228

Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of documents for use cases such as enterprise search and discovery, control and compliance, and general business process workflow.

Cloud Experiments ⭐ 73

Open innovation with 60 minute cloud experiments on AWS

Serverless Positive Chat ⭐ 34

An inclusive chat that avoids negative messages and translates the content in the language that you choose, tracking the main topics of a chat room.

Content Localization On Aws ⭐ 30

Automatically generate multi-language subtitles using AWS AI/ML services. Machine generated subtitles can be edited to improve accuracy and downstream tracks will automatically be regenerated based on the edits. Built on Media Insights Engine (https://github.com/awslabs/aws-media-insights-eng

Document Processing Pipeline For Regulated Industries ⭐ 28

A boilerplate solution for processing image and PDF documents for regulated industries, with lineage and pipeline operations metadata services.

Aws Experiments Comprehend Custom Classifier ⭐ 13

How to train a custom NLP classifier with AWS Comprehend?

Quickseek ⭐ 10

QuickSeek is a chrome extension that allows you to easily search and navigate through a YouTube video, you can quickly find and watch only parts of the video that contain words you are looking for. The Chrome extension uses Amazon Transcribe to make the audio searchable and Amazon Comprehend to perform sentiment analysis on the transcript.

Good News Machine ⭐ 10

A web-app that aggregates a feed of positive news.

Website Scraper With Amazon Comprehend ⭐ 7

Get additional insights from your data by running it through Amazon Comprehend

Elasticsearch Ingest Aws Comprehend ⭐ 6

Elasticsearch ingest processors using Amazon Comprehend for NLP analysis

Amazon Textract Comprehend Stepfunctions Example ⭐ 5

A sample guide to building a serverless document processing application that can make intelligent flow-control decisions after classifying the input document type.

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