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PolyAnalyst introduces support for using stop list dictionaries when analyzing spelling errors

In previous builds of PolyAnalyst the only way to stop a word from showing up in the spell checker was to add it to the morphology dictionary. This would sometimes result in having to add things to the morphology dictionary that might not really belong there, such as product codes (Model ABC-XYZ) and the occasional single foreign word (e.g. yukata). In order to prevent this dictionary mismatch PolyAnalyst now includes…
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Manual validation of entities in entity extraction

Algorithmic extraction of entities from text is a powerful tool and a core feature of PolyAnalyst, but it can be difficult to get results with absolutely no false positives. Previously, the user would have to reword the algorithm little by little to remove each false positive, or find some other way to filter the results. Fortunately PolyAnalyst supports manual validation of entity extraction results. In effect this means that a…
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Why we use dependency parsing

For beginners, text analysis often begins with a simple keyword search. Analysts can start by searching for “great service”. They may then begin adding other searches like “service was great” or “service is so great”. This, of course, is a very rudimentary approach that will miss a lot of relevant comments, so users who want to get more results quickly will advance to proximity searches. For example, they may search…
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Prepping the XPDL seminar series

XPDL is short for Extended Pattern Definition Language. It is a feature of Megaputer’s PolyAnalyst software that helps in analyzing textual data. Megaputer periodically provides educational events to help others learn about our technologies. Registration for the XPDL webinar series opens June 1, 2018. Following numerous requests from our customers for more XPDL training material, I’ve been developing an XPDL seminar series.  We receive a lot of questions about how…
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