Monthly Archives: December 2019

Awareness Watch Talk Show for Thursday December 5, 2019 at 2:00pm EST – Web Data Extractors 2020

December 05, 2019

Awareness Watch Talk Show for Thursday December 5, 2019 at 2:00pm EST – Web Data Extractors 2020
http://www.blogtalkradio.com/AwarenessWatch/

This program will be featuring my just updated white paper that is freely available titled Web Data Extractors 2020. We will be highlighting the latest and greatest resources and sources covering web data extractors including search engines resources, tools, sources, subject directories, articles, guides and tracers….literally everything on the Internet covering competent WEB DATA EXTRACTORS!! We will also be discussing my latest freely available Awareness Watch Newsletter V17N12 December 2019 featuring Shopping Bots and Online Shopping 2020 as well as my freely available December 2019 Zillman Columns highlighting 2020 Guide To Searching the Internet You may call in to ask your questions at (718)508-9839. The show is live and thirty minutes in length starting at 2:00pm EST on Thursday, December 5, 2019 and then archived for easy review and access. Listen, Call and Enjoy….

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Radian

December 05, 2019

Radian
https://github.com/randy3k/radian

Radian is an enhanced interactive console for the GNU R statistical computing system. It provides rich syntax highlighting, multi-line editing, and auto-completion similarly to Python’s IPython or Ruby’s IRB. Radian may be a good middle ground for users that find vanilla R to be a bit too spartan but RStudio to be a bit too heavyweight. The Settings section provides an overview of the customizations supported by Radian. These include a number of color schemes for syntax highlighting, Emacs or vi key bindings, optional auto-indentation of code as it is entered, and a variety of options for customizing Radian’s prompt. The Installation section lists requirements and provides setup instructions. Radian can be installed on Windows, macOS, and Linux systems. Radian is distributed under the MIT license, with source code available on GitHub. This will be added to Script Resources Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepre eurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™. Copyright © 2017 Internet Scout Research Group – http://scout.wisc.edu

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Updated> Web Data Extractors 2020

December 04, 2019

Updated> Web Data Extractors 2020
http://whitepapers.virtualprivatelibrary.net/Web%20Data%20Extractors.pdf

The Research white paper link compilation titled “Web Data Extractors 2020” is now a 22 page research paper listing many resources both new and existing that will help anyone who is attempting to find information and knowledge research about web data extraction on the Internet. It is freely available as a .pdf file (547KB) at the above link from the Virtual Private Library™ and authored by Marcus P. Zillman, M.S., A.M.H.A. It was updated with all links validated and new links added on December 4, 2019. Other white papers are available by clicking here.

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Tinkercad

December 04, 2019

Tinkercad
http://www.tinkercad.com

Tinkercad is a free, web-based 3D modeling system that strives “to make 3-D design in general, and the design of physical items in particular, accessible to hundreds of millions of people.” In service of that goal, Tinkercad has a very simple, intuitive, and easy to learn interface. The 3E modeling system is frequently used to teach entry-level constructive solid geometry. Objects created in Tinkercad can be exported to Minecraft and to formats used by 3D printers. In the Tinkercad Gallery linked at the top of the site, users can locate a library of objects created and shared by other users. Many of these objects are available under a Creative Commons license that allows them to be freely reused and incorporated into other projects. Tinkercad runs in any browser that supports WebGL, which includes all the major desktop browsers (Chrome, Firefox, IE/Edge, and Safari) as well as most mobile browsers. This will be added to Script Resources Subject Tracer™.This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™. Copyright © 2017 Internet Scout Research Group – http://scout.wisc.edu

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LLRX> 2020 Guide to Web Data Extractors

December 03, 2019

LLRX> 2020 Guide to Web Data Extractors
https://www.llrx.com/2019/11/2020-guide-to-web-data-extractors/

This guide is a comprehensive listing of web data extractors, screen, web scraping and crawling sources and sites on the Internet and on the Deep Web. These sources are actionable for professionals who focus on competitive intelligence, business intelligence and analysis, knowledge management, and research that requires collecting, reviewing, monitoring and tracking data, metadata and text. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™

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Toxic Comment Classifier

December 03, 2019

Toxic Comment Classifier
https://developer.ibm.com/exchanges/models/all/max-toxic-comment-classifier/

This model is able to detect 6 types of toxicity in a text fragment. The six detectable types are toxic, severe toxic, obscene, threat, insult, and identity hate. The underlying neural network is based on the pre-trained BERT-Base, English Uncased model and was fine tuned on the Toxic Comment Classification Dataset using the Huggingface BERT Pytorch repository. A brief definition of the six different toxicity types can be found at this site. This will be added to Artificial Intelligence Resources Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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Open Educational Resources (OER) Sources 2020

December 02, 2019

Open Educational Resources (OER) Sources 2020
http://www.OERSources.com/

“Open Educational Resources (OER) are freely accessible, openly licensed text, media, and other digital assets that are useful for teaching, learning, and assessing as well as for research purposes.” [Wikipedia] Costs continue to rise for students who are pursing college and post graduate degree programs. By leveraging best practice sites, services and non-traditional options to expand knowledge, skills and abilities in many disciplines, students can choose from a wide range of options to complete their respective goals. This freely available guide, Open Educational Resources (OER) Sources 2020, is a comprehensive listing of useful open educational resources, sources and sites on the Internet that can assist you in optimizing your learning opportunities. This will be added to OERSearchEngine.com/. This will be added to Education and Academic Resources Subject Tracer™. This will be added to Student Research Resources Subject Tracer™. Complete Update Including All Links Validated on December 1, 2019 [36 pages, 640KB PDF]

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Updated> Deep Web Research and Discovery Resources 2020

December 02, 2019

Updated> Deep Web Research and Discovery Resources 2020
http://www.DeepWeb.us/

I have just updated my white paper link dataset compilation and now titled Deep Web Research and Discovery Resources 2020 and it is now a 69 page 698KB PDF document freely available directly from the above URL. This update verified all links as well as reviewed all resources covered including adding additional links. Currently this has been downloaded over 7,000,000+ times!

December 1, 2019

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

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Updated> Academic and Scholar Search Engines and Sources

December 02, 2019

Updated> Academic and Scholar Search Engines and Sources
http://www.ScholarSearchEngines.com/

Internet Annotated Link Dataset Compilation titled “Academic and Scholar Search Engines and Sources” is now a 80 page research paper listing selected resources both new and existing that will help anyone who is attempting to find academic and scholarly information and knowledge available on the Internet. Each source is described along with the URL address than can be accessed. It is freely available as a .pdf file (790KB) at the above link from the Virtual Private Library™ and authored by Marcus P. Zillman, M.S., A.M.H.A. [Completely Updated with all links validated and new URLs added: December 1, 2019]. Other white papers are available by clicking here.

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

© 2019 Marcus P. Zillman, M.S., A.M.H.A

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