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AWS tutorial code.
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)
Amazon re:Invent workshop - "Alexa, Ask Jarvis to Create a Serverless App for Me" -
Elasticsearch ingest processors using Amazon Comprehend for NLP analysis
Right call center quality assurance monitoring written in Python
This repository is a collaborative work towards creating a serverless application called Learning Management System. This application follows multi-cloud deployment and will implement backend-as-a service architecture.
A tool that can mask words that match regular expression, keywords or PII (Personally Identifiable Information) in an image file.
A multi-platform, serverless chatbot skeleton with Chatbase and Dialogflow integration.
:trophy: 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
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 content will start with the basics of the selected technologies and cover potential challenges with a release to production.
This repo contains all the code required to do an IDP solution on AWS from document splitting, classification to extraction.
Gain customer insights using Amazon Aurora machine learning
A Raspberry Pi & Slack or Pipedream enabled tattle phone
🎥 Elevate Your Content with ClipCrafter AI
Streaming and real-time analysis of Twitter data through an AWS data stream
Global Aurora PostgreSQL Serverless V2 Database with Disaster Recovery and In-Database Machine Learning Capabilities
Serverless Data Lake on AWS. Slideshare: https://www.slideshare.net/SmartBizVN/serverless-data-lake-on-aws
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.
Pipeline for Amazon Transcribe and Amazon Comprehend using event sourcing with Amazon EventBridge.
Customer Feedback Sentiment Analysis
Modelo do AWS SAM que implanta um aplicativo sem servidor. Esse aplicativo usa serviços do Amazon ML, como Comprehend e Rekognition, para indexar documentos e imagens e, em seguida, envia os resultados ao Elasticsearch para indexação rápida.
program that computes the approximate grade level needed to comprehend some text by the Coleman-Liau index. The Coleman-Liau index of a text is designed to output what (U.S.) grade level is needed to understand the text.
Sentiment detection with Amazon Comprehend
Examples working with AWS SDK via. Python Boto3 to make calls to Comprehend APIs
Automated document creation from modular templates using flask on AWS EC2 connected to AWS S3 and Comprehend
AWS website that displays numerical data, predictions about the numerical data (of cryptocurrency) and the results of sentiment analysis.
Redact PHI/PII data using AWS comprehend API's
Hi I’m Elinora, your friend and companion in the most important phase of your life. Being a mother can be surreal and strenuous at the same time. I am here to try my best to help you through it especially at the times you need someone.I can talk to you and advice you when you are lost,help you book appointments, try my best to answer baby related queries