Combination of multi-view multi-source language classifiers for cross-lingual sentiment classification

• Main Authors: Hajmohammadi, Mohammad Sadegh, Ibrahim, Roliana, Selamat, Ali, Yousefpour, Alireza
• Format: Article
• Published: Springer Verlag 2014
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/52143/; http://dx.doi.org/10.1007/978-3-319-05476-6_3
• Institution: Universiti Teknologi Malaysia

Cross-lingual sentiment classification aims to conduct sentiment classification in a target language using labeled sentiment data in a source language. Most existing research works rely on machine translation to directly project information from one language to another. But cross-lingual classifiers...