AWS Certified AI Practitioner (AIF-C01) exam preparation

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.

Right call center quality assurance monitoring written in Python

Pipeline for ingesting and leveraging text data using AWS services

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

Using AWS Comprehend NLP Service, Python boto3, json toolkits

A lightweight, highly configurable tool for scanning files for personally identifiable information (PII) and other sensitive data. It uses AWS Comprehend and custom regex patterns, supports fast multi-threaded execution, and can run as a standalone tool or as a GitHub Action.

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.

Natural Language Processing Based RealTime Voicemail Routing System for Health Insurance Enterprise

Interacting with public cloud object storage

In this repository you will find an aws-sample that will create an AWS Comprehend classification model from documents. It will then use that classification model to split documents. Check out the attached blog link to learn more about this project!

This repo is developed to perform the sentiment analysis on Arabic tweets using AWS Comprehend and Arsent Dictionary based approach.

Real-time Twitter sentiment analysis using AWS services. Captures tweets, analyzes sentiment with Comprehend, and stores results in DynamoDB for visualization and insights into trends.

This project automates the extraction, summarization, and analysis of various document formats (PDF, TXT, CSV, images) without requiring manual review.

Python package to get a sentiment analysis of Whatsapp chats with a particular friend using AWS Comprehend.

An sentiment bot for Slack written in Python

A serverless application which is built MS) using a multi-cloud deployment model, and backend-as-a-service (BaaS). The LMS provides customization feature and additional services for instructors, and limited services to students. The LMS provides online virtual assistance, which can quickly answer the queries of users, and in addition, it provide…

Examples working with AWS SDK via. Python Boto3 to make calls to Comprehend APIs