DeAnna E. Staton
Library Technician
Brentwood Library
Tennessee
(615)371-0090 x826
-----Original Message-----
From: Next generation catalogs for libraries [mailto:NGC4LIB_at_LISTSERV.ND.EDU] On Behalf Of Eric Lease Morgan
Sent: Monday, February 07, 2011 7:10 AM
To: NGC4LIB_at_LISTSERV.ND.EDU
Subject: [NGC4LIB] parts-of-speech
For the past year or so I have been dabbling with text mining, and my latest foray surrounded the analysis of parts-of-speech (POS) in full text.
With the advent of so much full text, it seems logical to me to figure out ways to describe individual items -- as well as our collections as a whole -- by analyzing more than the most basic of bibliographic information. Based on my initial and rudimentary investigations, differentiating texts on POS is not promising. From my blog posting:
I now have the tools necessary to answer one of my initial
questions, "Do some works contain a greater number of nouns,
verbs, and adjectives than others?"... The result was very
surprising to me. Despite the wide range of document sizes, and
despite the wide range of genres, the relative percentages of POS
are very similar across all of the documents... Based on this
foray and rudimentary analysis the answers are, "No, there are
not significant differences, and no, works do not contain
different number of nouns, verbs, adjectives, etc."
http://bit.ly/hsxD2i
By exploiting the existence of full text, library "discovery systems" can be so much more functional and useful. We need to be taking advantage of our environment to a much greater degree.
--
Eric Lease Morgan
University of Notre Dame
Great Books Survey -- http://bit.ly/auPD9Q
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Received on Mon Feb 07 2011 - 17:05:55 EST