Web Crawling is a technique used to extract root and related content (HTML, Videos, Images, etc.) from websites to your local disk. This is allows you apply NLP to analyze the content and get important insights. This article detail how to do web crawling and NLP.

To do web crawling you can choose a tool in Java or Python. In my case I'm using Crawler4J. (https://github.com/yasserg/crawler4j).

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Hi everyone,

I'm creating something to test the Analytics capabilities.

I have a table with 100k records. Consulting the data using ^%G or SELECT, everything is working fine.

But, when I create a Cube using this same class as Source, the Build results in only 1 fact.

I would like to know if anyone else faces the same situation before and have some guidance.

Some details:

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Hi Community,

Please welcome the new video on InterSystems Developers YouTube:

The Freedom of Visualization Choice: InterSystems BI

https://www.youtube.com/embed/gGfpL1eKlxk
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Hi Community!

We are pleased to invite all the developers to the upcoming InterSystems Analytics Contest Kick-off Webinar! The topic of this webinar is dedicated to the Analytics contest.

On this webinar, we’ll demo the iris-analytics-template and answer the questions on how to develop, build, and deploy Analytics applications using InterSystems IRIS.

Date & Time: Monday, December 7 — 12:00 PM EDT

Speakers:
🗣 @Carmen Logue, InterSystems Product Manager - Analytics and AI
🗣 @Evgeny Shvarov, InterSystems Developer Ecosystem Manager

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Hi Developers!

Here're the technology bonuses for the InterSystems Multi-Model Contest that will give you extra points in the voting:

  • InterSystems IRIS BI
  • InterSystems IRIS NLP
  • IntegratedML
  • Real data usage
  • InterSystems Reports
  • ZPM Package deployment
  • Docker container usage

See the details below.

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Hey Developers,

Please welcome the first session from InterSystems Virtual Summit 2020:

Creating InterSystems IRIS Analytics Solutions Using Docker & VSCode

https://www.youtube.com/embed/SgEEayfME9U
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Article
· Nov 20, 2020 2m read
Enrich your analytics projects with NLP

According IDC, 80% of all data produced are NoSQL. See:

There are digital documents, scanned documents, online and offline texts, blob content into SQL, images, videos and audio. Imagine a Corporate Analytics initiative without all these data to analyze and support decisions?

In all the world, many projects are using techonologies to transform these NoSQL data into textual content, to allows analyze it. See:

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Hey Developers,

See how InterSystems IRIS Adaptive Analytics can be used to aggregate and query billions of records from a virtual cube, applying machine learning and analytics to that data.

InterSystems IRIS Adaptive Analytics in Action

https://www.youtube.com/embed/BCV1v91iZwk
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This year's Virtual Summit has more content around Analytics and AI than ever before. We've made this quick video to guide you through the program and put things into context with respect to InterSystems overall strategy for Data & Analytics.

https://www.youtube.com/embed/fTcNimWi2y0
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Hi Community!

Enjoy watching the new video on InterSystems Developers YouTube:

Introduction to InterSystems Reports

https://www.youtube.com/embed/-AdK9sOwk50
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Hi guys.

Recently, I get interest in FHIR in order to run for the IRIS for Health FHIR
contest
. As a beginner on this topic, I've heard somewhat about it, but I didn't know how complex and powerful was FHIR. As pointed out by @Henrique Dias here, you can model several aspects of the patient history and other related entities.

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Hi Developers,

The new video from Global Summit 2019 is available on InterSystems Developers YouTube:

Introducing Analytic Workflows

https://www.youtube.com/embed/i32l5ayptaQ
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Article
· Aug 2, 2020 1m read
Application Errors Analytics

Hi Developers!

As you know the application errors live in ^ERRORS global. They appear there if you call:

d e.Log() 

in a Catch section of Try-Catch.

With @Robert Cemper's approach, you can now use SQL to examine it.

Inspired by Robert's module I introduced a simple IRIS Analytics module which shows these errors in a dashboard:

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This is my introduction to a series of posts explaining how to create an end-to-end Machine Learning system.

Starting with one problem

Our IRIS Development Community has several posts without tags or wrong tagged. As the posts keep growing the organization
of each tag and the experience of any community member browsing the subjects tends to decrease.

First solutions in mind

We can think some usual solutions for this scenario, like:

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A few months ago, I read this interesting article from MIT Technology Review, explaing how COVID-19 pandemic are issuing challenges to IT teams worldwide regarding their machine learning (ML) systems.

Such article inspire me to think about how to deal with performance issues after a ML model was deployed.

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Now available on Open Exchange is a library of third party charts available to use within DeepSee/InterSystems IRIS BI dashboards. To start, simply download and install, select the new portlet as the widget type, then select the chart type that you desire. If you don't find the type of chart you are looking for, you can easily extend the portlet to implement your desired chart type. These new chart types can be used within existing dashboards or you can create new dashboards using them.

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Keywords: PyODBC, unixODBC, IRIS, IntegratedML, Jupyter Notebook, Python 3

Purpose

A few months ago I touched on a brief note on "Python JDBC connection into IRIS", and since then I referred to it more frequently than my own scratchpad hidden deep in my PC. Hence, here comes up another 5-minute note on how to make "Python ODBC connection into IRIS".

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Making a Chart using Intersystems IRIS + Python

How to use the IRIS Native API in Python to access globals and plot some charts.

Why Python?

With a large adoption and use in the world, Python have a great community and a lot of accelerators | libraries to deploy any kind of application.
If you are curious (https://www.python.org/about/apps/)

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Preview releases are now available for InterSystems IRIS Advanced Analytics, and InterSystems IRIS for Health Advanced Analytics! The Advanced Analytics add-on for InterSystems IRIS introduces IntegratedML as a key new feature.

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In an ever-changing world, companies must innovate to stay competitive. This ensures that they’ll make decisions with agility and safety, aiming for future results with greater accuracy.
Business Intelligence (BI) tools help companies make intelligent decisions instead of relying on trial and error. These intelligent decisions can make the difference between success and failure in the marketplace.
Microsoft Power BI is one of the industry’s leading business intelligence tools. With just a few clicks, Power BI makes it easy for managers and analysts to explore a company’s data. This is important because when data is easy to access and visualize, it’s much more like it’ll be used to make business decisions.


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