There are 3 repositories under aws-comprehend topic.
As of August 30, 2023, this AWS Solution is no longer available. Existing deployments will continue to run. The functionality provided by Content Analysis on AWS will be superseded with functionality in Media2Cloud on AWS and Content Localization on AWS. We encourage you to explore these solutions.
Voice of the Customer (VoC) to enhance customer experience with serverless architecture and sentiment analysis, using Amazon Kinesis, Amazon Athena, Amazon QuickSight, Amazon Comprehend, and ChatGPT-LLMs for sentiment analysis.
Analyzing Twitter in real time with Kinesis, Lambda, Comprehend and ElasticSearch
Use AWS to stream and analyze the sentiment of live tweets from Twitter based on a certain keyword.
Team - Brogrammers. Won cash prize of INR 20000 at GE Healthcare Challenge
Language Translation and Syntax Tool Made With React Using AWS Amplify Predictions Library to Integrate Artificial Intelligence and Machine Learning
Pipeline for ingesting and leveraging text data using AWS services
Right call center quality assurance monitoring written in Python
A Progressive Web App to generate an article on a given trend using curated Tweets.
Example of Amazon SageMaker Ground Truth and Amazon Comprehend Custom NER
Web page that can accept English text files and run various types of nlp
Speech Sentiment Analyser is a ML & AI based tool to help analyse the user sentiment in an audio file
Using AWS Comprehend NLP Service, Python boto3, json toolkits
This is a project to classify customer requests based on the customer request text using AI - NLP. I have used AWS Comprehend, AWS Step Functions and Lambda Functions. In addition to these components, Zendesk supports natively connection to the AWS Event Bridge, this means that all ticket events in Zendesk are sent to AWS to process and update the ticket. You can consider and Event Based Architecture for your AI project as well.
Team - Brogrammers. SHADE Engine to detect the emotions of a person based on his/her social media activity and recommend measures to improve upon the same.
Sample AWS Lambda functions using Textract and Comprehend Medical to pull entities from images and PDFs
Natural Language Processing Based RealTime Voicemail Routing System for Health Insurance Enterprise
A web application that identifies all Artist's Exhibition Titles from a given CV. The text detection is handled by AWS Textract and title detection is handled by AWS Comprehend.
🗣 An Alexa skill that uses Natural Language Processing (NLP) to analyze and keep track of the sentiment value of your speech entry
Interacting with public cloud object storage
A Discord bot that replies a GIF of Pepa Madrigal from Encanto whenever it detects a negative message
In this project I created an Aurora PostgreSQL database instance, integrating with Amazon Comprehend for sentiment analysis, and analyzing sentiments of records in the database table.
Serverless pipeline for Named Entity Recognition using AWS Comprehend and Masking or Anonymization selected entities
Example php scripts making sigv4 signed aws api requests
Mood-Analxyzer using Face and textual sentiments. Technologies used - AWS and AI-ML
A demonstration project using PubNub and AWS Comprehend for a chat system
Utilization of AWS NLS and alpha vantage to find trends between news sentiment and a stock price
This repository contains an AWS Lambda function that performs sentiment analysis on text inputs using AWS Comprehend. The Lambda function is designed to provide insights into the emotional tone of the given text and classify it as positive, negative, neutral, or mixed sentiment.
Chatbot Translator App with AWS, Golang and Terraform