An approach to graph-based analysis of textual documents
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- Text Analysis Graph model Multi Document Summarization
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/eusflat.2013.96 ID - Bronselaer2013/08 ER -