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Báo cáo khoa học: "Identifying the Semantic Orientation of Foreign Words"

We present a method for identifying the positive or negative semantic orientation of foreign words. Identifying the semantic orientation of words has numerous applications in the areas of text classification, analysis of product review, analysis of responses to surveys, and mining online discussions. Identifying the semantic orientation of English words has been extensively studied in literature. Most of this work assumes the existence of resources (e.g. Wordnet, seeds, etc) that do not exist in foreign languages. . | Identifying the Semantic Orientation of Foreign Words Ahmed Hassan EECS Department University of Michigan Ann Arbor MI hassanam@umich.edu Rahul Jha EECS Department University of Michigan Ann Arbor MI rahuljha@umich.edu Amjad Abu-Jbara EECS Department University of Michigan Ann Arbor MI amjbara@umich.edu Dragomir Radev EECS Department and School of Information University of Michigan Ann Arbor MI radev@umich.edu Abstract We present a method for identifying the positive or negative semantic orientation of foreign words. Identifying the semantic orientation of words has numerous applications in the areas of text classification analysis of product review analysis of responses to surveys and mining online discussions. Identifying the semantic orientation of English words has been extensively studied in literature. Most of this work assumes the existence of resources e.g. Wordnet seeds etc that do not exist in foreign languages. In this work we describe a method based on constructing a multilingual network connecting English and foreign words. We use this network to identify the semantic orientation of foreign words based on connection between words in the same language as well as multilingual connections. The method is experimentally tested using a manually labeled set of positive and negative words and has shown very promising results. 1 Introduction A great body of research work has focused on identifying the semantic orientation of words. Word polarity is a very important feature that has been used in several applications. For example the problem of mining product reputation from Web reviews has been extensively studied Turney 2002 Morinaga et al. 2002 Nasukawa and Yi 2003 Popescu and Etzioni 2005 Banea et al. 2008 . This is a very 592 important task given the huge amount of product reviews written on the Web and the difficulty of manually handling them. Another interesting application is mining attitude in discussions Hassan et al. 2010 where the attitude of .