tailieunhanh - Báo cáo khoa học: "Sentence and Expression Level Annotation of Opinions in User-Generated Discourse"

In this paper, we introduce a corpus of consumer reviews from the rateitall and the eopinions websites annotated with opinion-related information. We present a two-level annotation scheme. In the first stage, the reviews are analyzed at the sentence level for (i) relevancy to a given topic, and (ii) expressing an evaluation about the topic. In the second stage, on-topic sentences containing evaluations about the topic are further investigated at the expression level for pinpointing the properties (semantic orientation, intensity), and the functional components of the evaluations (opinion terms, targets and holders). . | Sentence and Expression Level Annotation of Opinions in User-Generated Discourse Cigdem Toprak and Niklas Jakob and Iryna Gurevych Ubiquitous Knowledge Processing Lab Computer Science Department Technische Universitat Darmstadt Hochschulstrabe 10 D-64289 Darmstadt Germany Abstract In this paper we introduce a corpus of consumer reviews from the rateitall and the eopinions websites annotated with opinion-related information. We present a two-level annotation scheme. In the first stage the reviews are analyzed at the sentence level for i relevancy to a given topic and ii expressing an evaluation about the topic. In the second stage on-topic sentences containing evaluations about the topic are further investigated at the expression level for pinpointing the properties semantic orientation intensity and the functional components of the evaluations opinion terms targets and holders . We discuss the annotation scheme the inter-annotator agreement for different subtasks and our observations. 1 Introduction There has been a huge interest in the automatic identification and extraction of opinions from free text in recent years. Opinion mining spans a variety of subtasks including creating opinion word lexicons Esuli and Sebastiani 2006 Ding et al. 2008 identifying opinion expressions Riloff and Wiebe 2003 Fahrni and Klenner 2008 identifying polarities of opinions in context Breck et al. 2007 Wilson et al. 2005 extracting opinion targets Hu and Liu 2004 Zhuang et al. 2006 Cheng and Xu 2008 and opinion holders Kim and Hovy 2006 Choi et al. 2005 . Data-driven approaches for extracting opinion expressions their holders and targets require reliably annotated data at the expression level. In previous research expression level annotation of opinions was extensively investigated on newspaper articles Wiebe et al. 2005 Wilson and Wiebe 2005 Wilson 2008b and on meeting dialogs So-masundaran et al. 2008 Wilson 2008a . Compared to the newspaper and meeting .

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