<p><strong>TextArc </strong>is a free Java applet combining <strong>visualization</strong> with elements of an <strong>index</strong>, <strong>concordance</strong> and <strong>summary</strong>. It is a <strong>simple and intuitive</strong> way to delve into a text, and <strong>includes a guide</strong> accompanied by screenshots. TextArc is unique amongst text analysis tools for the awards and recognition it has earned for the artistic merits of its text visualization.</p> <p>Though no longer under development, TextArc has been maintained online since 2002. It requires a 600 Mhz Pentium II or faster, running a minimum of Windows NT or Mac OS X, Java SE 6 or more recent, and a current web browser; as such, <strong>most modern computers will be able to run this tool with minimal difficulty though it can be slow and is processor-intensive</strong>.</p> <p><strong>TextArc offers a simple, clever way to examine a text.</strong> It takes a text, located by the user in the tool's provided Project Gutenberg search, and <strong>generates a circular representation in which the entirety of the text is arranged in sequence around the exterior</strong>. Each word in the text also appears in the centre of the visualization, its location determined by its frequency and at what points it shows up in the text. Other texts cannot be used with TextArc at this time.</p> <p>The most common words will appear in the centre and less common drawn toward the part of the edge it appears most frequently. Words are also brighter or darker accordingly. Hovering over a word reveals lines connecting that word to each place it appears along the arc or a looping line connecting words in the order they appear in the text. TextArc also includes concordance and association list functions. For a dynamic view of the text, users can run the Read function, which highlights each word in sequence to show where it appears in relation to other words and its distribution through the text all in one smooth animation.</p> <p>Though this tool stands up well even a decade later, <strong>texts larger than a short novel</strong>, such as the example texts <em>Alice in Wonderland</em> and <em>Hamlet</em>, will <strong>slow down the tool</strong> dramatically and can even <strong>cause it to crash</strong> on the Read function. When used on a laptop, the strain TextArc puts on the processor can cause the computer to rapidly overheat; reviewing its functions required several pauses to allow heat to dissipate. As such, <strong>TextArc is best run on a desktop computer</strong>.</p> <p><strong>TextArc is recommended as a way to gain simple insights into a text quickly and attractively without getting bogged down in statistical data from the start</strong>. It offers a means of intuitively delving into word choice and distribution particularly useful as a prelude to applying more complex or comprehensive tools to the text. It would be additionally useful as a didactic tool in the classroom, for example to show how characters and thematically loaded words come and go over the course of a work of fiction. <strong>Though minimalist in its functions, TextArc remains useful and attractive. It has earned a place as historically important tool for both its text analysis capabilities and its contributions to text visualization.</strong></p>