Google Search Tips That Make You Say DUH
November 10, 2016
Unless you are establishing the trends in the search field, then there is room for you to learn new search-related skills. Search is a basic function in the developed world and is more powerful than typing a word or phrase into Google’s search box. Google also has more tricks in its toolbox than you might be aware of. Single Grain published, “Google Like A Pro: 42 Of The Most Useful Google Search Tricks” that runs down useful ways to use the search engine. Some of them, however, are cheap tricks we have discussed before.
Single Grain runs down the usual Google stats about how many people use the search engine, its multiple services, and the hard to find Advanced Search. Here is a basic article description:
Here’s a list of 42 of the most useful Google search tricks that’ve probably never thought of—some practical, some just plain fun. Everyone knows how to Google, but by learning how to Google like a pro, you can harness the full power of the search giant and impress your boss and friends alike. Or at least find stuff.
These tips include: calculator, package tracker, stock watcher, tip calculator, conversions, weather, flight tracker, coin flipping, voice search, fact checking, and other tips you probably know. What I love is that it treats Boolean operators as if they are a brand new thing. They do not even use Boolean in the article! Call me old school, but give credit where credit is due.
Whitney Grace, November 10, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Cerebrant Discovery Platform from Content Analyst
May 6, 2015
A new content analysis platform boasts the ability to find “non-obvious” relationships within unstructured data, we learn from a write-up hosted at PRWeb, “Content Analyst Announces Cerebrant, a Revolutionary SaaS Discovery Platform to Provide Rapid Insight into Big Content.” The press release explains what makes Cerebrant special:
“Users can identify and select disparate collections of public and premium unstructured content such as scientific research papers, industry reports, syndicated research, news, Wikipedia and other internal and external repositories.
“Unlike alternative solutions, Cerebrant is not dependent upon Boolean search strings, exhaustive taxonomies, or word libraries since it leverages the power of the company’s proprietary Latent Semantic Indexing (LSI)-based learning engine. Users simply take a selection of text ranging from a short phrase, sentence, paragraph, or entire document and Cerebrant identifies and ranks the most conceptually related documents, articles and terms across the selected content sets ranging from tens of thousands to millions of text items.”
We’re told that Cerebrant is based on the company’s prominent CAAT machine learning engine. The write-up also notes that the platform is cloud-based, making it easy to implement and use. Content Analyst launched in 2004, and is based in Reston, Virginia, near Washington, DC. They also happen to be hiring, in case anyone here is interested.
Cynthia Murrell, May 6, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Cerebrant Discovery Platform from Content Analyst
April 29, 2015
A new content analysis platform boasts the ability to find “non-obvious” relationships within unstructured data, we learn from a write-up hosted at PRWeb, “Content Analyst Announces Cerebrant, a Revolutionary SaaS Discovery Platform to Provide Rapid Insight into Big Content.” The press release explains what makes Cerebrant special:
“Users can identify and select disparate collections of public and premium unstructured content such as scientific research papers, industry reports, syndicated research, news, Wikipedia and other internal and external repositories.
“Unlike alternative solutions, Cerebrant is not dependent upon Boolean search strings, exhaustive taxonomies, or word libraries since it leverages the power of the company’s proprietary Latent Semantic Indexing (LSI)-based learning engine. Users simply take a selection of text ranging from a short phrase, sentence, paragraph, or entire document and Cerebrant identifies and ranks the most conceptually related documents, articles and terms across the selected content sets ranging from tens of thousands to millions of text items.”
We’re told that Cerebrant is based on the company’s prominent CAAT machine learning engine. The write-up also notes that the platform is cloud-based, making it easy to implement and use. Content Analyst launched in 2004, and is based in Reston, Virginia, near Washington, DC. They also happen to be hiring, in case anyone here is interested.
Cynthia Murrell, April 29, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
SAS Text Miner Provides Valuable Predictive Analytics
March 25, 2015
If you are searching for predictive analytics software that provides in-depth text analysis with advanced linguistic capabilities, you may want to check out “SAS Text Miner.” Predictive Analytics Today runs down the features and what SAS Text Miner and details how it works.
It is a user-friendly software with data visualization, flexible entity options, document theme discovery, and more.
“The text analytics software provides supervised, unsupervised, and semi-supervised methods to discover previously unknown patterns in document collections. It structures data in a numeric representation so that it can be included in advanced analytics, such as predictive analysis, data mining, and forecasting. This version also includes insightful reports describing the results from the rule generator node, providing clarity to model training and validation results.”
SAS Text Miner includes other features that draw on automatic Boolean rule generation to categorize documents and other rules can be exported into Boolean rules. Data sets can be made from a directory on crawled from the Web. The visual analysis feature highlights the relationships between discovered patterns and displays them using a concept link diagram. SAS Text Miner has received high praise as a predictive analytics software and it might be the solution your company is looking for.
Whitney Grace, March 25, 2015
Stephen E Arnold, Publisher of CyberOSINT at www.xenky.com
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