InterSystems IRIS NLP Website Analyzer

This is an InterSystems IRIS NLP Website Analyzer. It extracts all HTML content from a site and related content, using crawler and uses IRIS NLP to analyze the website content.

What The the app does

This application receive a URL, use a Crawler to extract all website content and analyze it using NLP

Website-Analyzer - IRIS NLP and Crawler4J in action!

Website-Analyzer IRIS BI in action!

Prerequisites

Make sure you have git and Docker desktop installed.

Installation: Docker

Clone/git pull the repo into any local directory

$ git clone https://github.com/yurimarx/website-analyzer.git

Open the terminal in this directory and run:

$ docker-compose build

Run the IRIS container with your project:

$ docker-compose up -d

How to Run the Ocr Production

Open the production
Set Depth and TotalPages to the Crawler. Depth is how many subpages will be crawled and TotalPages is how many pages will be processed. Tip: start with Depth 0 and 5 pages, to be a fast initial test.
Start the production.
Now Open Postman or create a request in a browser pointing to localhost:9980?Website=https://www.intersystems.com/ using GET. Choose any website changing https://www.intersystems.com/ to any site (e.g.: yoursite.com)
Go to the NLP Domain Explorer
Go to the BI User Portal
Analyze the texts and enjoy!

website-analyzer

Experts nomination

InterSystems Analytics

Community nomination

InterSystems Analytics