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There is a growing interest in automatically building opinion lexicon from sources such as product reviews. Most of these methods depend on abundant external resources such as WordNet, which limits the applicability of these methods. Unsupervised or semi-supervised learning provides an optional solution to multilingual opinion lexicon extraction. However, the datasets are imbalanced in different languages. For some languages, the high-quality corpora are scarce or hard to obtain, which limitsdoi:10.1371/journal.pone.0079294 pmid:24260190 pmcid:PMC3829905 fatcat:5vyqgiopavdetdt4igffui3dbq