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BasketLens

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Project description

BasketLens is a tool to explore a collection of texts by searching single words or baskets of words. To define a basket users can type lists of words or use predefined baskets (e.g. "male" words, or "love" words. In the table users can see which documents contain those words, one column per term or basket. The more matches the document had, the brighter the color of the cell. This prototype is the result of an undergraduate independant study by Darya Filippova.

Participants

Darya Filippova, Undergraduate Student
Catherine Plaisant, PhD, Associate Research Scientist, HCIL
Ben Shneiderman, PhD, Professor, Computer Science

We also appreciate the feedback of Martha Nell Smith, Matt Kirschenbaum and others from the MONK project and from MITH, the Maryland Institute for Technology in the Humanities