Proceedings of the 2016 International Conference on Education, Sports, Arts and Management Engineering

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

Authors
Mingshuang Tang, Hongrong Cheng, Yanwei Guo, Jiaqing Luo, Shijie Zhou
Corresponding Author
Mingshuang Tang
Available Online March 2016.
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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Volume Title
Proceedings of the 2016 International Conference on Education, Sports, Arts and Management Engineering
Series
Advances in Social Science, Education and Humanities Research
Publication Date
March 2016
ISBN
10.2991/icesame-16.2016.25
ISSN
2352-5398
DOI
10.2991/icesame-16.2016.25How to use a DOI?
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/).

Cite this article

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  -