The cookies is used to store the user consent for the cookies in the category "Necessary". This cookie is set by GDPR Cookie Consent plugin. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. The most popular terms can be positioned anywhere within the cloud with any number of text decorations.Necessary cookies are absolutely essential for the website to function properly. Through the implementation of JavaScript and CSS, the raw HTML (ordered) list structure can be presented in a variety of ways so that developers and designers can achieve a random, fun and attractive cloud. This will ensure that the most popular items or those items with the highest frequency will be accessed first with the keyboard. Moreover, the appropriate tabbing order will be honored within browsers as well. Text Cloud Figure 2: The raw ordered list structure is presented in the browser before JavaScript and CSS formats the presentation of the contentīy ensuring that the raw data is structured with OL tags in HTML, screen readers such as JAWS will convey the hierarchy of the list items and render the information as it is structured and in the order that the content appears in the Document Object Model (DOM). To properly convey the frequency or popularity of the text clouds through HTML markup, ordered lists must be presented on the page. Although unordered lists can accurately convey the total number of cloud items, unordered list structure will not provide the means to denote the importance or frequency of the list items (i.e. Be mindful that some open source solutions merely use unordered lists ( UL tag). If you are looking for a text cloud solution, ensure that the raw cloud data is ultimately structured with HTML list elements (ordered lists defined by the OL tag). Many of these do not focus on accessible HTML structure some come close to providing the optimal solution. There are many open source examples of tag clouds (text clouds, collocate clouds, data clouds) on the Internet. Most likely, all of the hyperlinks within the cloud will appear the same, without any presentation or structure to aid in the intended purpose. To simulate this experience, find a text cloud on the web and ignore style sheets within the browser. Without the proper HTML structure, a non-sighted user, for example, may not have the ability to determine the importance of one term over another. Merely relying on font-sizes, weights and color to convey hierarchy can exclude some users from accessing important information on the website, though. The text or terms within the cloud are often placed randomly within the cloud shape as seen in the following figure: Text Cloud Figure 1: A text cloud for which Baseball Football, and Skiing is conveyed to be more popular than other sports Often the frequency or popularity of text within the clouds is represented through increased font-sizes, font-weights or color. Through the creation of various algorithms, text clouds can be presented in an array of shapes and sizes.
The use of text clouds can offer a fun, visually appealing method of displaying the frequency or popularity of words on a web page.
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