AWS tutorial code.
-
Updated
May 20, 2024 - Python
AWS tutorial code.
Amazon re:Invent workshop - "Alexa, Ask Jarvis to Create a Serverless App for Me" -
Picturesocial is a new content series that will include code samples, blogs, and videos. It’s based on a hypothetical social media network for sharing pictures. The main use case is that user can post pictures and the app will use AI to caption and tag them. Sentiment analysis is used to add "reactions" to pictures based on the comments. The con…
A multi-platform, serverless chatbot skeleton with Chatbase and Dialogflow integration.
Gain customer insights using Amazon Aurora machine learning
Serverless Data Lake on AWS. Slideshare: https://www.slideshare.net/SmartBizVN/serverless-data-lake-on-aws
A tool that can mask words that match regular expression, keywords or PII (Personally Identifiable Information) in an image file.
🏆 An applicant tracking system (ATS) is a software application that enables the electronic handling of recruitment and hiring needs. Corporate recruiters or hiring managers can then search and sort through the resumes in a number of ways, depending on the needs
Streaming and real-time analysis of Twitter data through an AWS data stream
Elasticsearch ingest processors using Amazon Comprehend for NLP analysis
Right call center quality assurance monitoring written in Python
This repository describes how to design and implement Natural Language Processing(NLP)-based service using AWS Serverless, Amazon Comprehend and AWS Cloud Development Kit(CDK)
Your personal assistant at work
An AWS serverless AI services pipeline for analysing call center calls, with custom analytics built around AWS Transcribe and AWS Comprehend and insights published on AWS Quicksight.
Perform sentiment analysis on emails then update on Salesforce.
AWS low-level API client
Pipeline for Amazon Transcribe and Amazon Comprehend using event sourcing with Amazon EventBridge.
Add a description, image, and links to the comprehend topic page so that developers can more easily learn about it.
To associate your repository with the comprehend topic, visit your repo's landing page and select "manage topics."