Keywords Extraction Based on Text Classification

DOI

10.2991/icsem.2013.150How to use a DOI?

Keywords

text classification, keywords extraction, candidate word,weight function CLC Number: TP391.1

Abstract

In this paper, we propose new keywords extraction method based on texts classification. We first classify texts to determine their categories. Then determine weights of candidate words according to both their frequency and the relevance between text words and text category. Finally, keywords are extracted by sorting weights of candidate words. We conduct this experiment to show that on the premise of accurate text classification, this method can extract keywords effectively from text without title or with deviated title which can not reflect text’s subject. Objective selecting of candidate word weighting function still needs to be further researched.

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  - Li-gong Yang
AU  - Jian Zhu
AU  - Shi-ping Tang
PY  - 2013/04
DA  - 2013/04
TI  - Keywords Extraction Based on Text Classification
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 734
EP  - 739
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.150
DO  - 10.2991/icsem.2013.150
ID  - Yang2013/04
ER  -