String Kernels for Polarity Classification: A Study Across Different Languages [chapter]

Rosa M. Giménez-Pérez, Marc Franco-Salvador, Paolo Rosso
2018 Lecture Notes in Computer Science  
The polarity classification task has as objective to automatically deciding whether a subjective text is positive or negative. Using a cross-domain setting implies the use of different domains for the training and testing. Recently, string kernels, a method which does not employ domain adaptation techniques has been proposed. In this work, we analyse the performance of this method across four different languages: English, German, French and Japanese. Experimental results show the strong
more » ... l of this approach independently from the language.
doi:10.1007/978-3-319-91947-8_50 fatcat:yf4iinsysfbdneq2gzlpyyb7dm