An approach to graph-based analysis of textual documents

DOI

10.2991/eusflat.2013.96How to use a DOI?

Keywords

Text Analysis Graph model Multi Document Summarization

Abstract

In this paper a new graph-based model is proposed for the representation of textual documents. Graph-structures are obtained from textual documents by making use of the well-known Part-Of-Speech (POS) tagging technique. More specifically, a simple rule-based (re)classifier is used to map each tag onto graph vertices and edges. As a result, a decomposition of textual documents is obtained where tokens are automatically parsed and attached to either a vertex or an edge. It is shown how textual documents can be aggregated through their graph-structures and finally, it is shown how vertex-ranking methods can be used to find relevant tokens.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Antoon Bronselaer
AU  - Gabriella Pasi
PY  - 2013/08
DA  - 2013/08
TI  - An approach to graph-based analysis of textual documents
BT  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 674
EP  - 681
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.96
DO  - 10.2991/eusflat.2013.96
ID  - Bronselaer2013/08
ER  -