SRL-DP-NE: An Opinion Mining Method Based on Web News Comments

Qing Du; Wei Cheng Ye; Fen Guo; Jiang Xing Wang

doi:10.4028/www.scientific.net/AMM.543-547.3590

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Extending Description Logic SHOIN Based on Cloud Model
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SRL-DP-NE: An Opinion Mining Method Based on Web News Comments
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547SRL-DP-NE: An Opinion Mining Method Based on Web...

SRL-DP-NE: An Opinion Mining Method Based on Web News Comments

Abstract:

There is much news online every day and people would like to read online news and give their comments on some news, which reflect their views and opinions about the people and matters involved in the event reported in the news. Opinions mining on these comments is of great significance for the construction of the government's democratic politics, public opinion monitoring and decision support, etc. In this paper we analyze user opinion from four aspects: characteristic, emotional word, emotional word qualifier, emotional tendency. We propose a SRL-DP-NE algorithm to extract the characteristic-emotional word pairs. Finally, we implement the system of opinion mining on web news comments, and got the overall polarity analysis.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

3590-3593

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.3590

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Online since:

March 2014

Authors:

Qing Du*, Wei Cheng Ye, Fen Guo, Jiang Xing Wang

Keywords:

Named Entities, Opinion Mining, Semantic Similarity Calculation, Sentiment Polarity

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* - Corresponding Author

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