The Sentiment Analysis in Opinion Mining of Web News Comments

DOI

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.

Copyright

© 2015, 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  - 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  - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SP  - 49
EP  - 53
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.10
DO  - 10.2991/ipemec-15.2015.10
ID  - Du2015/05
ER  -