Microblog Keyphrase Extraction Based on Similarity Features

DOI

10.2991/icacsei.2013.71How to use a DOI?

Keywords

Keyphrase extraction, Similarity features, Graph-based model.

Abstract

This paper proposes to extract keyphrases from microblog based on similarity features. We analyze a large number of microblogs and find an interesting phenomenon that people use various nugget phrases to express the same factoid while many of these nugget phrases show similarity relationships. We propose a similarity features based context-sensitive topical PageRank method for keyphrase ranking. We evaluate our proposed methods on a large microblog dataset. Experiments show that our system is very effective for keyphrase extraction.

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/).

Download article (PDF)

TY  - CONF
AU  - Li zi Liao
AU  - He yan Huang
PY  - 2013/08
DA  - 2013/08
TI  - Microblog Keyphrase Extraction Based on Similarity Features
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 284
EP  - 287
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.71
DO  - 10.2991/icacsei.2013.71
ID  - Liao2013/08
ER  -