tailieunhanh - Báo cáo khoa học: "Evaluating Multilanguage-Comparability of Subjectivity Analysis Systems"

Subjectivity analysis is a rapidly growing field of study. Along with its applications to various NLP tasks, much work have put efforts into multilingual subjectivity learning from existing resources. Multilingual subjectivity analysis requires language-independent criteria for comparable outcomes across languages. This paper proposes to measure the multilanguage-comparability of subjectivity analysis tools, and provides meaningful comparisons of multilingual subjectivity analysis from various points of view. . | Evaluating Multilanguage-Comparability of Subjectivity Analysis Systems Jungi Kim Jin-Ji Li and Jong-Hyeok Lee Division of Electrical and Computer Engineering Pohang University of Science and Technology Pohang Republic of Korea yangpa ljj jhlee @ Abstract Subjectivity analysis is a rapidly growing field of study. Along with its applications to various NLP tasks much work have put efforts into multilingual subjectivity learning from existing resources. Multilingual subjectivity analysis requires language-independent criteria for comparable outcomes across languages. This paper proposes to measure the multilanguage-comparability of subjectivity analysis tools and provides meaningful comparisons of multilingual subjectivity analysis from various points of view. 1 Introduction The field of NLP has seen a recent surge in the amount of research on subjectivity analysis. Along with its applications to various NLP tasks there have been efforts made to extend the resources and tools created for the English language to other languages. These endeavors have been successful in constructing lexicons annotated corpora and tools for subjectivity analysis in multiple languages. There are multilingual subjectivity analysis systems available that have been built to monitor and analyze various concerns and opinions on the Internet among the better known are OASYS from the University of Maryland that analyzes opinions on topics from news article searches in multiple languages Cesarano et al. 2007 1 and TextMap an entity search engine developed by Stony Brook University for sentiment analysis along with other functionalities Bautin et al. 2008 . 2 Though these systems currently rely on English analysis tools and a machine translation MT technology to 1http oasysnew 2http translate other languages into English up-to-date research provides various ways to analyze subjectivity in multilingual environments. Given sentiment analysis systems