Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference

The Sentiment Analysis in Opinion Mining of Web News Comments

Authors
Qing Du, Fen Guo, Jiangxing Wang
Corresponding Author
Qing Du
Available Online May 2015.
DOI
https://doi.org/10.2991/ipemec-15.2015.10How to use a DOI?
Keywords
Opinion Analysis; Semantic Analysis; Semantic Similarity Calculation
Abstract
Opinions’ analysis on web news comments is a great significance for the construction of the government's democratic politics, public opinion monitoring and decision support, etc. In this paper we analyze user’s opinion from emotional word, emotional word qualifier, and emotional tendency. We proposed an emotional word qualifier extract algorithm based on dependency relation tree. We improved the words polarity calculation algorithm based on HowNet. Finally, we implemented the system of opinion mining on web news comments, and got the overall sentiment analysis.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Power, Electronics and Materials Engineering Conference
Part of series
Advances in Engineering Research
Publication Date
May 2015
ISBN
978-94-62520-73-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ipemec-15.2015.10How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qing Du
AU  - Fen Guo
AU  - Jiangxing Wang
PY  - 2015/05
DA  - 2015/05
TI  - The Sentiment Analysis in Opinion Mining of Web News Comments
BT  - 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.10
DO  - https://doi.org/10.2991/ipemec-15.2015.10
ID  - Du2015/05
ER  -