Abstract
The article focuses on acquiring new vocabulary used to express opinion attributes. We apply two automated expansion techniques to a manually annotated corpus of attribute-level opinions. The first method extracts opinion attribute words using patterns. It has been augmented by the second, wordnet and similarity-based expansion procedure. We examine the types of errors and shortcomings of both methods and end up proposing two hybrid, machine learning approaches that utilise all the available information: rules, lexical and distributional. One of them proves highly successful.
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References
Brill, E.: A simple rule-based part of speech tagger. In: Proceedings of the Third Conference on Applied Natural Language Processing, pp. 152–155 (1992)
Hu, M., Liu, B.: Mining opinion features in customer reviews. In: Proceedings of the 19th National Conference on Artifical Intelligenc, AAAI 2004, pp. 755–760. AAAI Press (2004)
Kobayashi, N., Inui, K., Matsumoto, Y.: Extracting aspect-evaluation and aspect-of relations in opinion mining. In: Proceedings of EMNLP (2007).
Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? sentiment classification using machine learning techniques. In: Proceedings of EMNLP (2002)
Piasecki, M., Broda, B.: Semantic Similarity Measure of Polish Nouns Based on Linguistic Features. In: Abramowicz, W. (ed.) BIS 2007. LNCS, vol. 4439, pp. 381–390. Springer, Heidelberg (2007), http://dl.acm.org/citation.cfm?id=1759779.1759813
Piasecki, M., Szpakowicz, S., Broda, B.: A Wordnet from the Ground Up. Oficyna Wydawnicza Politechniki Wroclawskiej (2009)
Popescu, A.M., Etzioni, O.: Extracting product features and opinions from reviews. In: Proceedings of EMNLP (2005)
Przepiorkowski, A., Buczynski, A.: Spade: Shallow parsing and disambiguation engine. In: Proceedings of the 3rd Language and Technology Conference, Poznan (2007)
Qiu, G., Liu, B., Bu, J., Chen, C.: Expanding domain sentiment lexicon through double propagation. In: Proceedings of IJCAI (2009)
Turney, P., Littman, M.: Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems 21, 315–346 (2003)
Wang, B., Wang, H.: Bootstrapping both product features and opinion words from chinese customer reviews with cross-inducing. In: Proceedings of IJCNLP 2008 (2008)
Wawer, A., Sakwerda, K.: How Opinion Annotations and Ontologies Become Objective? In: Bouvry, P., Kłopotek, M.A., Leprévost, F., Marciniak, M., Mykowiecka, A., Rybiński, H. (eds.) SIIS 2011. LNCS, vol. 7053, pp. 391–400. Springer, Heidelberg (2012)
Zhuang, L., Feng, J., Xiao-yan, Z.: Movie review mining and summarization. In: Proceedings of CIKM (2006)
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Wawer, A., Gołuchowski, K. (2012). Expanding Opinion Attribute Lexicons. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2012. Lecture Notes in Computer Science(), vol 7499. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32790-2_8
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DOI: https://doi.org/10.1007/978-3-642-32790-2_8
Publisher Name: Springer, Berlin, Heidelberg
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