Automated Classification and Categorization of Mathematical Knowledge

Abstract. There is a common Mathematics Subject Classification (MSC) System used for categorizing mathematical papers and knowledge. We present results of machine learning of the MSC on full texts of papers in the mathematical digital libraries DML-CZ and NUMDAM. The F1-measure achieved on classific...

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Bibliographic Details
Main Authors: Radim Řehůřek, Petr Sojka
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
capacity to select
edit
single out
structure
highlight
group
pair
merge
harmonize
synthesize
focus
organize
condense
reduce
boil down
choose
categorize
catalog
classify
list
abstract
scan
look into
idealize
isolate
discriminate
distinguish
screen
pigeonhole
pick over
sort
integrate
blend
inspect
DML
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.1116
http://www.fi.muni.cz/usr/sojka/papers/mkm2008-rehurek-sojka.pdf
Description
Summary:Abstract. There is a common Mathematics Subject Classification (MSC) System used for categorizing mathematical papers and knowledge. We present results of machine learning of the MSC on full texts of papers in the mathematical digital libraries DML-CZ and NUMDAM. The F1-measure achieved on classification task of top-level MSC categories exceeds 89%. We describe and evaluate our methods for measuring the similarity of papers in the digital library based on paper full texts. 1

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