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Apache Tika - Apache Tika The Overview Project » How Overview turns Documents into Pictures Overview produces intricate visualizations of large document sets — beautiful, but what do they mean? These visualizations are saying something about the documents, which you can interpret if you know a little about how they’re plotted. There are two visualizations in the current prototype version of Overview, and both are based on document clustering. The first is the items plot, which grew out of the proof-of-concept system we presented a year ago. Every document is a dot. Similar documents get pulled together to form visible groups, that is, clusters. Overview also has a “tree” view. The tree view and the items plot show the same thing, just in different ways. Extracting Key Words All of Overview’s clustering depends on grouping similar documents together, but what does that mean? But Overview doesn’t know any of this. Two documents are similar if they have overlapping sets of key words. Where do those documents go? The tree view finds not only clusters but sub-clusters.

Nmap - Free Security Scanner For Network Exploration & Security Audits. tf–idf One of the simplest ranking functions is computed by summing the tf–idf for each query term; many more sophisticated ranking functions are variants of this simple model. Motivation[edit] Suppose we have a set of English text documents and wish to determine which document is most relevant to the query "the brown cow". A simple way to start out is by eliminating documents that do not contain all three words "the", "brown", and "cow", but this still leaves many documents. To further distinguish them, we might count the number of times each term occurs in each document and sum them all together; the number of times a term occurs in a document is called its term frequency. However, because the term "the" is so common, this will tend to incorrectly emphasize documents which happen to use the word "the" more frequently, without giving enough weight to the more meaningful terms "brown" and "cow". Mathematical details[edit] with Then tf–idf is calculated as Example of tf–idf[edit] See also[edit]

AD·VNVM·DATVM - index.html Processing.js Rockwell Automation Rockwell Automation is a global provider of industrial automation, power, control and information solutions. Brands in industrial automation include Allen-Bradley and Rockwell Software. Headquartered in Milwaukee, Wisconsin, Rockwell Automation is one of the largest industrial automation companies in the world, employing about 21,000 people in more than 80 countries. It is a Fortune 500 company, ranked number 411 on the list.[1] Company history[edit] Rockwell Automation was founded in 1903 as the Compression Rheostat Company by Lynde Bradley and Stanton Allen with an initial investment of $1,000. In 2014 the company was named by Ethisphere Institute One of World's Most Ethical Companies for the sixth time.[3] Products[edit] Some examples of Rockwell Automation's industrial automation offerings are: See also[edit] References[edit] External links[edit] Rockwell Automation

4 free data tools for journalists (and snoops) - O'Reilly Radar Note: The following is an excerpt from Pete Warden’s free ebook “Where are the bodies buried on the web? Big data for journalists.” There’s been a revolution in data over the last few years, driven by an astonishing drop in the price of gathering and analyzing massive amounts of information. It only cost me $120 to gather, analyze and visualize 220 million public Facebook profiles, and you can use 80legs to download a million web pages for just $2.20. Those are just two examples. The technology is also getting easier to use. What does this mean for journalists? Many of you will already be familiar with WHOIS, but it’s so useful for research it’s still worth pointing out. You can also enter numerical IP addresses here and get data on the organization or individual that owns that server. Blekko The newest search engine in town, one of Blekko’s selling points is the richness of the data it offers. The first tab shows other sites that are linking to the current domain, in popularity order.

The Humanities and Critical Code Studies Lab | @ the University of Southern California Home | Data Science Toolkit Bill Lear William Powell (Bill) Lear (June 26, 1902 – May 14, 1978) was an American inventor and businessman. He is best known for founding the Lear Jet Corporation, a manufacturer of business jets. He also invented the B-battery eliminator and developed the 8-track cartridge, an audio tape system which was widely used in the 1960s and 1970s.[1] Early life[edit] Lear entered Englewood High School but was dismissed for showing up teachers. Radio engineer[edit] Lear was self-taught: "He had read widely on wireless, including the works of Nikola Tesla the Croatian-Serbian scientist/inventor. Lear’s talents as engineer showed in 1924 when he moved to Chicago and built a B-battery eliminator for the Universal Battery Company with R. Lear built audio amplifiers and cases for the Magnavox speakers then coming out. Lear Radio Laboratories was the source of an early step to miniaturization in electronics. Music cartridges[edit] Transportation[edit] Aviation[edit] Personal life[edit] Tributes and honors[edit]