Abstract
Microblog is one of the most widely used web applications. Weibo, which is a microblog service in China, produces plenty of opinionated messages every second. Sentiment analysis on Chinese Weibo impacts many aspects of business and politics. In this work, we attempt to address the opinion target extraction, which is one of the most important aspects of sentiment analysis. We propose a unified approach that concentrates on phrase-level target extraction. We assume that a target is represented as a subgraph of the sentence’s dependency tree and define the grammatical relations that point to the target word as TAR-RELs. We conduct the extraction by classifying grammatical relations with a cost-sensitive classifier that enhances performance of unbalanced data and figuring out the target subgraph by connecting and recovering TAR-RELs. Then we prune the noisy targets by empirically summarized rules. The evaluation results indicate that our approach is effective to the phrase-level target extraction on Chinese microblog messages.
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References
Qiu, G., Liu, B., Bu, J., Chen, C.: Opinion Word Expansion and Target Extraction through Double Propagation. Computational Linguistics 37(1), 9–27 (2011)
Brody, S., Elhadad, N.: An Unsupervised Aspect-sentiment Model for Online Reviews. In: Brody, S., Elhadad, N. (eds.) HLT 2010, Stroudsburg, PA, USA, pp. 804–812 (2010)
Sayeed, A.B., Boyd-Graber, J., Rusk, B., Weinberg, A.: Grammatical Structures for Word-level Sentiment Detection. In: NAACL HLT 2012, Stroudsburg, PA, USA, pp. 667–676 (2012)
Mukherjee, A., Liu, B.: Aspect Extraction through Semi-supervised Modeling. In: ACL 2012, Stroudsburg, PA, USA, pp. 339–348 (2012)
Lin, C., He, Y.: Joint Sentiment/Topic Model for Sentiment Analysis. In: CIKM 2009, New York, NY, USA, pp. 375–384 (2009)
Liu, K., Xu, L., Zhao, J.: Opinion Target Extraction Using Word-based Translation Model. In: EMNLP-CoNLL 2012, Stroudsburg, PA, USA, pp. 1346–1356 (2012)
Ku, L.W., Huang, T.H., Chen, H.H.: Using Morphological and Syntactic Structures for Chinese Opinion Analysis. In: EMNLP 2009, Stroudsburg, PA, USA, pp. 1260–1269 (2009)
Zhou, X., Wan, X., Xiao, J.: Cross-language Opinion Target Extraction in Review Texts, pp. 1200–1205 (December 2012)
Cui, A., Zhang, H., Liu, Y., Zhang, M., Ma, S.: Lexicon-based Sentiment Analysis on Topical Chinese Microblog Messages. In: Semantic Web and Web Science, pp. 333–344. Springer Proceedings in Complexity (2013)
Domingos, P.: Metacost: A General Method for Making Classifiers Cost-sensitive. In: KDD 1999, New York, NY, USA, pp. 155–164 (1999)
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Zhang, H., Liu, Y., Zhang, M., Ma, S. (2013). Grammatical Phrase-Level Opinion Target Extraction on Chinese Microblog Messages. In: Zhou, G., Li, J., Zhao, D., Feng, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2013. Communications in Computer and Information Science, vol 400. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41644-6_43
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DOI: https://doi.org/10.1007/978-3-642-41644-6_43
Publisher Name: Springer, Berlin, Heidelberg
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