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Preparation

This page is a companion to the guest lecture on text mining for

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scheduled for 4/29/2014.
Please do bring a laptop! If you have one, bring your own. If you do not have one, please feel free to

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. Having a laptop will allow you to participate in the exercises and get the most out of class.
No special software will be needed. All exercises will be done through a Web browser.

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Presentation

There will be a

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during which your questions and comments are welcome. My aim is to discuss as much as is useful to you. Please feel free to chime in at any time.

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All exercises will be demonstrated, so no prior knowledge of the tools are required. The room is equipped with a jack to allow easy sharing of your desktop on the screen, so if you discover something that you would like to share and discuss, we can easily do so, and I will encourage that.

Voyant

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is a low barrier text analysis tool that delivers a rich, interactive interface. Please feel free to bring your own material for upload and analysis, understanding that upload of any material will be subject to the

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There will be exercise time using Google's

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. nGrams depict the frequency of a word or word combination analyzed by publication year. Note that many modifications can be made to refine the analysis, so please consider the links below as starting points. Syntax for refinement is found on the

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ManyEyes

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is a site run by IBM that allows for various visualizations of data. A few of the visualizations allow for free text entry, and analyze the text directly. Please feel free to upload your own work into the site as primary data (upload requires an account), understanding that the

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will apply.

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