Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Cross-language text classification
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Orthogonal nonnegative matrix t-factorizations for clustering
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Can chinese web pages be classified with english data source?
Proceedings of the 17th international conference on World Wide Web
Cross-language query classification using web search for exogenous knowledge
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Multilingual subjectivity analysis using machine translation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Co-training for cross-lingual sentiment classification
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Multilingual spectral clustering using document similarity propagation
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Cross-domain sentiment classification via spectral feature alignment
Proceedings of the 19th international conference on World wide web
Cross-lingual mixture model for sentiment classification
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
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Recently the sentiment classification problem interests the researchers over the world, but most sentiment corpora are in English, which limits the research progress on sentiment classification in other languages. Cross-lingual sentiment classification aims to use annotated sentiment corpora in one language (e.g. English) as training data, to predict the sentiment polarity of the data in another language (e.g. Chinese). In this paper, we design a bi-view non-negative matrix tri-factorization (BNMTF) model for the cross-lingual sentiment classification problem. We employ machine translation service so that both training and test data is able to have two representation, one in source language and the other in target language. Our BNMTF model is derived from the non-negative matrix tri-factorization models in both languages in order to make more accurate prediction. Our BNMTF model has three main advantages: (1) combining the information from two views (2) incorporating the lexical knowledge and training document label knowledge (3) adding information from test documents. Experimental results show the effectiveness of our BNMTF model, which can outperform other baseline approaches to cross-lingual sentiment classification.