Abstract
A high-quality content analysis is essential for retrieval functionalities but the manual extraction of key phrases and classification is expensive. Natural language processing provides a framework to automatize the process. Here, a machine-based approach for the content analysis of mathematical texts is described. A prototype for key phrase extraction and classification of mathematical texts is presented. © 2013 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Schöneberg, U., & Sperber, W. (2013). The DeLiVerMATH project text analysis in mathematics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7961 LNAI, pp. 379–382). https://doi.org/10.1007/978-3-642-39320-4_33
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
