A bye bye and a welcome


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Mi Islita.com is now a miner, dedicated exclusively to the indexing of sites relevant to Puerto Rico. Its legacy content is having a second life as it is being moved to the Tools and Tutorials sections of Minerazzi.com. All these changes are part of a broader effort of placing the latter at the center of the action.

Bye bye Mi Islita (2001-2015). Welcome, Mi Islita (2015 – ?).

Say “Hello” to Mind Retrieval


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Back in 2010 I mentioned in a spanish interview the notion of Mind Retrieval and search engines powered by bio-components as something soon to be a reality.


(Access the link through Google and translate it to read the interview.)

Well, it was a matter of time. The following news, gathered from Geek.com with our rss SPP service, shows that things are moving really fast in the HCI field: Mind-to-text/audio retrieval.


The next search marketing frontier!

Say “Hello” to Mind Retrieval.

More R Resources Available through the CRAN Miner


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More R resources are now available through the CRAN Miner (http://www.minerazzi.com/cranminer).

We have expanded its index of R packages. In addition and thanks to the SPP service, its main page now features rss news from R bloggers.

As there are so many R blogs out there, we are building a separate miner for them so users can have a large chunk of the vast community of R bloggers accessible from one place.

SPP as a Sitewide Service


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We are turning the Social Pulse Parser (SPP) into a sitewide service.

This means that in addition to mining social signals generated by rss news and user-defined urls, users can now quickly check the signals of every single search result across all miners built with Minerazzi.

Essentially when a user clicks the SPP icon displayed in a search result, the corresponding url is passed to the SPPV2 tool.

To complete the process, we are testing a feature that allows users to switch between topic-specific news (i.e., news specific to a miner) and general news when they visit a miner. So far, this feature is available only with the miner at http://www.minerazzi.com/prbusca

The goal of all these changes is the same: to turn searchers into data miners.

From RSS to SPP… to SPPV2


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We originally developed the Social Pulse Parser (SPP) as a tool for reporting the reach of rss news across several social networks.

“Reach” is used in this case to mean how many opinion signals syndicated news urls provoke across the most popular networks of the social landscape.

While a good idea, something was missing: How about the reach of urls pointing to products and services?

To fulfill said need, we have developed a second version of SPP that accepts user-defined urls. With this new tool, SPPv2, users can input a set of web addresses (urls) and follow the reach of specific products and services (e.g., branded domains, ads, blog posts, business sites,…) across the social networks.

SPPv2 is available at http://www.minerazzi.com/tools/spp/sppv2.php

Below are some suggested exercises for you to try with the tool.

  • Compare the reach of a branded domain name, with different third level domain extensions or tlds (e.g., .com, .net, .org).
  • Repeat the exercise with a set of competitive brands and same tlds (e.g. pepsi.com, coke.com,…).
  • Repeat the exercise with a set of competitive brands and different tlds (e.g.pepsi.com, coke.net,…).
  • Compare the reach of the top search marketing companies or newspapers from your local area or country.
  • Collect query metrics on a time basis (hrs, days, weeks,…) and do a time series analysis.

For instance, try the following set of search marketing urls:


If you are from Puerto Rico, try the following local newspaper urls:


If you want to share additional practical applications for the tool, let us know.

The Social Pulse Parser


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THE SOCIAL PULSE PARSER has arrived to Minerazzi (http://www.minerazzi.com)
What do you get when you combine RSS feeds with social metrics? A social pulse parser. Today, we did just that!
Essentially we have applied the power of our rss news parser to social networks so it can now reports Google +1, Pins, Tweets, and Facebook likes, shares, and comments statistics from each of the syndicated rss news parsed.
This innovation allows readers to compare the reach and impact of several channels/sites across the Web and in no time.
Just visit any of our miners to have a taste of what is coming to Minerazzi.

Broadcasting power over Wi-Fi for Internet of Things


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Broadcasting power over Wi-Fi for Internet of Things; http://www.technologyreview.com/view/538031/first-demonstration-of-a-surveillance-camera-powered-by-ordinary-wi-fi-broadcasts/

That news was gathered with our universal RSS News parser. Check many more at  http://www.minerazzi.com

Mining RSS News


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We are testing a random rss parser that works as an unfocused news aggregator. We are already working on a second version to make it focused, but it will take quite a bit.

The goal is to develop a tool that not just will deliver topic-specific RSS feeds to end users, but one capable of data mining said RSS news readers.

In the meantime, you can try the unfocused version by visiting any of our current miners, available at http://www.minerazzi.com.