Issue No. 02 - April-June (2013 vol. 4)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/T-AFFC.2013.1
Carmen Banea , University of North Texas, Denton
Rada Mihalcea , University of North Texas, Denton
Janyce Wiebe , University of Pittsburgh, Pittsburgh
Subjectivity analysis focuses on the automatic extraction of private states in natural language. In this paper, we explore methods for generating subjectivity analysis resources in a new language by leveraging on the tools and resources available in English. Given a bridge between English and the selected target language (e.g., a bilingual dictionary or a parallel corpus), the methods can be used to rapidly create tools for subjectivity analysis in the new language.
Dictionaries, Availability, Natural language processing, Manuals, Semantics, Tagging, Engines, multilingual subjectivity, Natural language processing, text analysis, sentiment and subjectivity analysis
C. Banea, R. Mihalcea and J. Wiebe, "Porting Multilingual Subjectivity Resources across Languages," in IEEE Transactions on Affective Computing, vol. 4, no. , pp. 211-225, 2013.