Determine the Polarity of Domain-Specific Sentiment Words with Usage of Semantic Pattern of Sentences

Li Gong Yang; Bo Deng

doi:10.4028/www.scientific.net/AMM.347-350.2340

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Determine the Polarity of Domain-Specific...

Determine the Polarity of Domain-Specific Sentiment Words with Usage of Semantic Pattern of Sentences

Abstract:

Text sentiment analysis is a new branch of computational linguistics which is widely concerned. In this paper, we present an approach to determine polarity of sentiment word based on context of sentence. We first change the context of sentence to semantic pattern vector, calculate the between different sentences, then compare sentences context indirectly by comparing similarity of their pattern vector, next we annotate polarity of sentiment word according to comparing result. Experiment shows that when the context of two sentences have high similarity, it is likely to have high precision in recognizing polarity of sentiment word. Our study shows it's feasible to use semantic pattern vector in representing context and judging polarity of sentiment words.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

2340-2343

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.2340

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Online since:

August 2013

Authors:

Li Gong Yang, Bo Deng

Keywords:

Context, Polarity, Semantic Pattern, Sentiment Word

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References

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