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Word cloud generators

Word cloud generators

Word cloud generators have become populars tools for meetings and team building events. Groups or teams are asked to use these applications to input words the feel best describe their team or their role. A “word cloud” is generated by the application that makes prominent the most-used terms, offering an image of the common thinking among participants of that role.

What types of words would you use to build a nursing word cloud. Empathetic, organized, hard-working, or advocate would all certainty apply. Would you add policy-marker to your list? Do you think it would be very prominent component of the word cloud?

Nursing has become one of the largest professions in the world, and as such, nurses have to potential to influence policy and politics on a global scale. When nurses influence the politics that improve the delivery of healthcare, they are ultimately advocating for their patients. Hence, polcy-making has become an increasingly popular term among nurses as they recognize a moral and professional obligation to be engaged in healthcare legislation.
1. Post an explanation of a least two opportunities that exist for RNs and APRNs to actively participate in policy-making.
2.Explain some of the challenges that these opportunities may present and describe how you might overcome these challenges.
3. Finally recommend two strategies you might to better advocate for or communicate the existence of these opportunities to participate in policy-making. Be specific and provide examples.

A label cloud (expression cloud or wordle or weighted checklist in aesthetic design and style) is a novelty visible reflection of written text information, generally used to show keyword metadata (tag) on internet sites, or to imagine free of charge kind textual content. Tag are generally single terms, and the significance of each label is demonstrated with typeface dimensions or colour.[2] This structure is wonderful for quickly perceiving probably the most well known phrases to determine its comparable prominence. Bigger word means higher excess weight.[3] When used as website menu aids, the conditions are hyperlinked to things related to the tag. Inside the vocabulary of visible style, a label cloud (or phrase cloud) is one kind of “weighted listing”, as popular on regional charts to symbolize the comparable size of places regarding comparable typeface sizing. A young printed instance of a weighted selection of English keywords was the “subconscious mind documents” in Douglas Coupland’s Microserfs (1995). A German look took place 1992.[4]

The precise graphic form and popular utilization of the phrase “tag cloud” increased to prominence from the initial several years in the modern day as a wide-spread attribute of very early Online 2. web sites and weblogs, employed primarily to visualize the regularity syndication of keyword metadata that identify website content material, and also as a the navigation assist.

The initial tag clouds on the great-information website had been in the photo expressing site Flickr, developed by Flickr co-creator and interaction designer brand Stewart Butterfield in 2004. That setup was based on Jim Flanagan’s Look for Recommendation Zeitgeist,[5] a visualization of Site referrers. Tag clouds have been also popularized around the same time by and Technorati, amongst others.

Oversaturation from the label cloud approach and ambivalence about its utility being a internet-the navigation device triggered a observed decline of usage among these early adopters.[6] Flickr would later on “apologize” for the web-growth community in their five-word recognition speech to the 2006 “Finest Procedures” Webby Award, where by they simply stated “sorry in regards to the tag clouds.”[7]

An additional age group of software improvement identified a wider assortment of purposes of tag clouds like a basic visualization means for text details. Numerous extensions of label clouds happen to be recommended in this particular framework.


A info cloud demonstrating the populace of all of the world’s countries around the world. Made in R with the wordcloud bundle. Data from Region population. Keep in mind that the proportional measurements of China and India had been separated in two. You will find three primary types of tag cloud programs in societal software program, distinguished by their significance instead of appearance. In the initially type, you will discover a tag for that consistency for each object, while from the 2nd sort, there are worldwide label clouds the location where the frequencies are aggregated total items and end users. From the 3rd type, the cloud features groups, with dimension suggesting number of subcategories.

Frequency In the first sort, dimensions represents the number of periods that label has become placed on just one object.[8] This is certainly useful as a method of displaying metadata about an item that has been democratically “voted” on and where precise results are not wanted.

In the second, more commonly used type,[citation needed] size represents the number of items to which a tag has been applied, as a presentation of each tag’s popularity.

Significance Further information: tf-idf Instead of frequency, the size can be used to represent the significance of words and word co-occurrences, compared to a background corpus (for example, compared to all the text in Wikipedia).[9] This approach cannot be used standalone, but it relies on comparing the document frequencies to expected distributions.

Categorization From the third kind, tag are used like a categorization technique for articles items. Tags are symbolized in a cloud where bigger labels represent the amount of articles items in that class.

There are many approaches to create tag clusters rather than tag clouds, e.g., by utilizing label co-incidences in documents.[10]

More generally, the same visual technique can be used to display non-tag data,[11] as in a word cloud or a data cloud.

The word keyword cloud is sometimes utilized as a search engine marketing (SEM) word that means a small grouping of keywords which can be highly relevant to a particular web site. In recent times tag clouds have become popular for their role in search engine optimization of Websites along with promoting an individual in moving this content in an details method proficiently.[12] Tag clouds as a navigational instrument have the assets of any website much more connected,[13] when crawled by a search engine spider, which may enhance the site’s search engine get ranked. From the ui standpoint they are often used to sum up search engine results to back up the user in finding content in the particular information and facts method quicker.[14]

Visible physical appearance Label clouds are usually symbolized using inline HTML elements. The tags can appear in alphabetical get, in the random purchase, they are often categorized by bodyweight, etc. Often, further more graphic qualities are controlled together with typeface dimension, for example the typeface color, power, or excess weight.[15] Most favored can be a rectangle label arrangement with alphabetical working in the sequential line-by-range structure. The choice for an optimum structure should be pushed through the expected end user objectives.[15] Some choose to cluster the tags semantically to ensure similar labels will appear near each other[16][17][18] or use embedding strategies including tSNE to situation phrases.[9] Sides may be included in stress the co-occurrences of labels and visualize connections.[9] Heuristics can be used to reduce how big the tag cloud whether or not the purpose is to group the tag.[17]

Label cloud aesthetic taxonomy is dependent upon a number of qualities: tag buying tip (e.g. alphabetically, by relevance, by perspective, randomly, requested for graphic top quality), shape of the whole cloud (e.g. rectangle-shaped, circle, presented map borders), shape of tag range (rectangle, or persona entire body), tag rotation (not any, totally free, constrained), straight tag positioning (staying on typographical baselines, free of charge). A label cloud on the internet must deal with problems of modeling and managing aesthetics, building a two-dimensional design of tag, and all of these must be done in limited time on unstable browser platform. Tag clouds to be utilized on the internet has to be in HTML, not graphics, to ensure they are robot-understandable, they must be constructed around the client side utilizing the fonts available in the web browser, and they also must fit into a rectangle-shaped box.[19]

Data clouds

A details cloud exhibiting inventory cost activity. Shade indicates positive or negative change, font sizing shows proportion transform. Coloration implies negative or positive change, typeface sizing reveals portion transform.

Text clouds

Text cloud comparing 2002 State of your Union Deal with by U.S. Chief executive Bush and 2011 State in the Union Street address by President Obama.