A Novel Approach of Extracting Opinion Targets and Opinion Words From Online Review

DOI

10.2991/icesame-16.2016.25How to use a DOI?

Keywords

opinion mining; sentiment analysis; opinion target; opinion word.

Abstract

In opinion mining, the precision of extracting opinion words and opinion targets from online review dataset can severely influence the precision of opinion mining systems. In this paper, we propose a graph-based filtering approach to extract effective opinion targets and opinion words from the candidate words, which can be mined by word-based translation model in a monolingual scenario. Experimental results on four real Chinese review datasets show that our approach is promising performance.

Copyright

© 2016, 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  - Mingshuang Tang
AU  - Hongrong Cheng
AU  - Yanwei Guo
AU  - Jiaqing Luo
AU  - Shijie Zhou
PY  - 2016/03
DA  - 2016/03
TI  - A Novel Approach of Extracting Opinion Targets and Opinion Words From Online Review
BT  - Proceedings of the 2016 International Conference on Education, Sports, Arts and Management Engineering
PB  - Atlantis Press
SP  - 118
EP  - 121
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesame-16.2016.25
DO  - 10.2991/icesame-16.2016.25
ID  - Tang2016/03
ER  -