Title :
Porting Multilingual Subjectivity Resources across Languages
Author :
Banea, C. ; Mihalcea, R. ; Wiebe, J.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of North Texas, Denton, TX, USA
Abstract :
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.
Keywords :
natural language processing; English; automatic extraction; bilingual dictionary; natural language; parallel corpus; porting multilingual subjectivity resources across languages; subjectivity analysis; target language; Availability; Dictionaries; Engines; Manuals; Natural language processing; Semantics; Tagging; Natural language processing; multilingual subjectivity; sentiment and subjectivity analysis; text analysis;
Journal_Title :
Affective Computing, IEEE Transactions on
DOI :
10.1109/T-AFFC.2013.1