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Seft takes a set of query terms and a set of files as arguments and, using a locality-based similarity heuristic, determines word locations within the files that are of interest with respect to the query. The user is then presented with a sequence of windows of text, the first window surrounding the most relevant location, the second window surrounding the next most relevant location and so on. Both the number of windows presented and the size of the window can be specified as parameters to seft. In addition, the user can specify whether to apply case-folding and/or stemming to the query terms and the text files.
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Martin Spernau
© 1994-2003
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The most important thing is the thing most easily forgotten
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