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项目作者： teknorulez

项目描述 ：
Making a Sentiment Analisys Prediction using AWS SageMaker ML/AI package models.
高级语言： JavaScript
项目地址: git://github.com/teknorulez/aws-sagemaker-sentiment-analisys.git


AWS SageMaker - Sentiment Analysis Prediction of Text put in an S3 Bucket

This project is just an example of how to use AWS SageMaker to make AI prediction.
I used a free model/algorithm package available on AWS Sagemaker ( “knime-sentiment-model-package” ) to identify the sentiment (positive/negative) of a given text in English.
The project contains following folders:

-ui: NodeJS config file + AWS JS SDK + S3 Functions

-lambda: Python lambda file

-examples: text examples

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

  • Buy a (FREE) AWS SageMaker model+algorithm and setup the endpoint
  • Create the S3 Bucket in AWS
  • Create a Lambda to be triggered on the S3 Bucket Event (put)
  • Setup CORS permission on Bucket
  • Setup Amazon Cognito for Browser Identity management

Installing

cd ui

npm install

node server.js

Running the App

Execute Installing instructions and then go to http://localhost:8080/

Authors

Stefano Patitucci