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GitHub topics: aws-comprehend

tanyakuznetsova/Amazon-Handmade-Reviews-23-Sentiment-and-NER

Comparison of AWS Comprehend and SpaCy on a subset of the Amazon Handmade reviews for sentiment analysis and NER

Language: Jupyter Notebook - Size: 1.04 MB - Last synced: about 14 hours ago - Pushed: 1 day ago - Stars: 0 - Forks: 0

lindsaygelle/AWSComprehend

AWS Comprehend is an event-driven, serverless data processing pipeline that leverages AWS services to perform natural language processing and analysis on user-submitted text files.

Language: HCL - Size: 1.69 MB - Last synced: 2 days ago - Pushed: 3 days ago - Stars: 0 - Forks: 0

NikiforovAll/aws-claim-check-dotnet

Claim Check pattern - AWS.Messaging + Aspire

Language: C# - Size: 303 KB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 0

ravi1045teja/Learning_Management_System

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 provides a chat functionality between the registered user.

Language: Python - Size: 5 MB - Last synced: 4 days ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

RATHOD-SHUBHAM/Amazon-Cloud

List of amazing AWS Services that can be utilized.๐Ÿš€

Language: Jupyter Notebook - Size: 14.9 MB - Last synced: about 2 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

speedhawk21/hue-sense

Hue Speech to Sentiment Lighting System

Language: Python - Size: 49.8 KB - Last synced: 2 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

jacobeturpin/aws-nlp-data-pipeline

Pipeline for ingesting and leveraging text data using AWS services

Language: Python - Size: 1.42 MB - Last synced: 3 months ago - Pushed: over 3 years ago - Stars: 7 - Forks: 0

nnthanh101/sentiment-analysis

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.

Language: JavaScript - Size: 7.78 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 24 - Forks: 5

cloudyr/aws.comprehend

AWS Comprehend Client

Language: R - Size: 110 KB - Last synced: 11 days ago - Pushed: about 1 year ago - Stars: 12 - Forks: 3

amitabh27/GE-Healthcare

Team - Brogrammers. Won cash prize of INR 20000 at GE Healthcare Challenge

Language: Jupyter Notebook - Size: 17.4 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 8 - Forks: 2

vmilovanovicc/zobot

Chatbot Translator App with AWS, Golang and Terraform

Language: Go - Size: 114 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

SpookyGlitches/tia-pepa-bot

A Discord bot that replies a GIF of Pepa Madrigal from Encanto whenever it detects a negative message

Language: JavaScript - Size: 28.3 KB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0

aws-solutions/content-analysis-on-aws

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 inย Media2Cloud on AWSย andย Content Localization on AWS. We encourage you to explore these solutions.

Language: Vue - Size: 6.97 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 90 - Forks: 47

MongoExpUser/Object-Storage-Interaction

Interacting with public cloud object storage

Language: Python - Size: 142 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 2 - Forks: 0

marcochiesa/medtextanalyze

Sample AWS Lambda functions using Textract and Comprehend Medical to pull entities from images and PDFs

Language: Java - Size: 80.1 KB - Last synced: 3 months ago - Pushed: over 4 years ago - Stars: 2 - Forks: 2

hieusydo/On-Demand-Counseling-Service

Connect college students with available counselors

Language: CSS - Size: 1.57 MB - Last synced: 10 months ago - Pushed: about 5 years ago - Stars: 0 - Forks: 0

Anirudha-N/Text_Analysis_using_AWS

Let's analyze twitter sentiments.This project uses Twitter API and AWS kinesis,AWS kinesis Firehose,Comprehend,Lambda,S3 and DynamoDB

Language: JavaScript - Size: 619 KB - Last synced: 10 months ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 1

COS301-SE-2022/Twitter-Summariser

A Progressive Web App to generate an article on a given trend using curated Tweets.

Language: TypeScript - Size: 13.6 MB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 6 - Forks: 6

kaanaydemir/aws-demo

Basic Usage of AWS services

Language: Java - Size: 75.2 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

aws-cloudformation/aws-cloudformation-resource-providers-comprehend

Language: Java - Size: 72.3 KB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 1

walimorris/unofficial-seattle-metro-api

The unofficial Seattle Metro API used to gain schedule insights on the go

Language: Java - Size: 162 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

aws-samples/aws-amplify-predictions-ai-ml-with-react

Language Translation and Syntax Tool Made With React Using AWS Amplify Predictions Library to Integrate Artificial Intelligence and Machine Learning

Language: TypeScript - Size: 1.95 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 8 - Forks: 6

AWS-Big-Data-Projects/Analyzing-Twitter-in-real-time-with-Kinesis-Lambda-Comprehend-and-ElasticSearch

Analyzing Twitter in real time with Kinesis, Lambda, Comprehend and ElasticSearch

Language: Python - Size: 11.7 KB - Last synced: over 1 year ago - Pushed: over 3 years ago - Stars: 13 - Forks: 10

gussf/trnsl8

A translation CLI intended for the learning of Go

Language: Go - Size: 50.8 KB - Last synced: 11 months ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

guardian/sentimentalist ๐Ÿ“ฆ

Sentiment analyst

Language: TypeScript - Size: 1.38 MB - Last synced: about 2 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

ev2900/Comprehend_Real-time_Analysis_Example

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

Language: Python - Size: 19.5 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

iampsrv/aws-python-boto3

AWS Machine learning services like AWS Comprehend, Translate, Transcribe, Rekognition and Polly with Python Boto3

Size: 1.95 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

aws-samples/amazon-sagemaker-groundtruth-and-amazon-comprehend-ner-examples

Example of Amazon SageMaker Ground Truth and Amazon Comprehend Custom NER

Language: Python - Size: 37.8 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 4 - Forks: 2

pgplarosa/Data-Architecture-for-Tracking-COVID-Statistics-and-Sentiments

Data Engineering Final Project - June 23, 2022

Language: Python - Size: 4.09 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

guangyusong/twitterStreams

A program to display recent tweets from any Twitter user and the tweet sentiment

Language: Scala - Size: 11.7 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

korniichuk/rightcall

Right call center quality assurance monitoring written in Python

Language: Python - Size: 1.21 MB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 7 - Forks: 2

tmfrlrkvlek/NDNS

๋ธ”๋กœ๊ทธ ๊ด‘๊ณ  ํŒ๋ณ„ ์„œ๋น„์Šค "๋„ค๋ˆ๋„ค์‚ฐ" ๊ฐœ๋ฐœ์„ ์œ„ํ•œ ๋ ˆํฌ์ž…๋‹ˆ๋‹ค.

Language: JavaScript - Size: 64.4 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

cpgeier/IntelliNews

A realtime analytics stack using AWS Kinesis Firehose, Lambda, and RDS

Language: Python - Size: 1.22 MB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

rkp678/Project3

Sentiment Analysis for Cryptocurrency, Open Banking, and Traditional Banking

Language: Jupyter Notebook - Size: 114 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 2 - Forks: 1

aditirajnish/aws-document-classifier-and-splitter Fork of aws-samples/aws-document-classifier-and-splitter

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!

Language: Python - Size: 31.3 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

semmet95/person-attribute

Spring Boot application combining AWS Comprehend, AWS RDS, and Heroku to create REST endpoints that store text insights for a particular created user in DB.

Language: Java - Size: 212 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1

darwin403/artist-cv-parser

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.

Language: Python - Size: 21.4 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 2 - Forks: 0

semmet95/whatsapp-chat-sentiment

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

Language: Python - Size: 5.84 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 1

k-hasan-19/sigv4-aws

Example php scripts making sigv4 signed aws api requests

Language: PHP - Size: 10.7 KB - Last synced: over 1 year ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

kunatastic/Mood-Analxyzer

Mood-Analxyzer using Face and textual sentiments. Technologies used - AWS and AI-ML

Language: HTML - Size: 8.03 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

swarajlaha/sentiment-analysis

A product review analysis app to determine the sentiment of customer reviews, using AWS.

Language: Python - Size: 6.84 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

amitabh27/AI-AWS-CHALLENGE

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.

Language: Jupyter Notebook - Size: 7.59 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

edwincarbajal/alexa-sentiment-analysis

๐Ÿ—ฃ An Alexa skill that uses Natural Language Processing (NLP) to analyze and keep track of the sentiment value of your speech entry

Language: JavaScript - Size: 28.3 KB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0

scionoftech/aws_comprehend_boto3

AWS Comprehend - Python Implementation using boto3

Language: Jupyter Notebook - Size: 9.77 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

amitabh27/Rakathon

Team - Brogrammers. AIRA - Software Solution for Next Generation E-commerce.

Language: JavaScript - Size: 1.77 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

rav94/sentimentAnalyzer

Audio Feedback Sentiment Analyzer with AWS Comprehend | Transcribe Exposed as a REST API

Language: Python - Size: 17.6 KB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

mdfw/SentimentChat

A demonstration project using PubNub and AWS Comprehend for a chat system

Language: Objective-C - Size: 13 MB - Last synced: 5 days ago - Pushed: about 5 years ago - Stars: 1 - Forks: 0

bhinmaine/slack-sentimentbot

An sentiment bot for Slack written in Python

Language: Python - Size: 395 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

AkashGS/BTS-Global-Hackathon

SHADE Engine to detect the emotions of a person based on his/her social media activity and recommend measures to improve upon the same.

Language: Jupyter Notebook - Size: 7.6 MB - Last synced: 2 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

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