Abstract
In this paper, we present a novel approach of constructing an opinion-element collocation dataset for Chinese language. The opinion-element collocation is a collocation whose composition words contain opinion/sentiment element. The dataset is useful for opinion mining task in many aspects. A search engine is used as a fundamental tool mainly because it could help us to seek both domain-specific and domain-independent collocation pairs, and at the same time, an ontology is used as a resource because it can offer rich semantic information to help us to classify collocations into domain-specific or domain-independent type. The tool and resource are combined to build a smart system that can automatically crawl data from the Internet and analyze extracted collocations. In order to ensure the quality of extracted collocations, we evaluate it manually. The experimental results on the COAE2008’s public corpus have proved the success of this approach on the four domains.
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Yao, T., Chen, M. (2013). Constructing Chinese Opinion-Element Collocation Dataset Using Search Engine and Ontology. In: Ji, D., Xiao, G. (eds) Chinese Lexical Semantics. CLSW 2012. Lecture Notes in Computer Science(), vol 7717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36337-5_34
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DOI: https://doi.org/10.1007/978-3-642-36337-5_34
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