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

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...

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