MUCK: A toolkit for extracting and visualizing semantic dimensions of large text collections
Rebecca Weiss · 2014
Users with large text collections are often faced with one of two problems; either they wish to retrieve a semanticallyrelevant subset of data from the collection for further scrutiny (needle-in-a-haystack) or they wish to glean a high-level understanding of how a subset compares to the parent corpus in the context of aforementioned semantic dimensions (forestfor-the-trees).In this paper, I describe MUCK 1 , an open-source toolkit that addresses both of these problems through a distributed text processing engine with an interactive visualization interface.