Bridging the language gap: Learning distributed semantics for cross-lingual sentiment classification

G Zhou, T He, J Zhao - … Processing and Chinese Computing: Third CCF …, 2014 - Springer
Cross-lingual sentiment classification aims to automatically predict sentiment polarity (eg,
positive or negative) of data in a label-scare target language by exploiting labeled data from …

Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification

G Zhou, T He, J Zhao - Springer
Cross-lingual sentiment classification aims to automatically predict sentiment polarity (eg,
positive or negative) of data in a labelscare target language by exploiting labeled data from …

[PDF][PDF] Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification

G Zhou, T He, J Zhao - 2014 - tcci.ccf.org.cn
Bilingual word embeddings Klementiev et al.(COLING 2012) leveraged bilingual word
embeddings for cross-lingual sentiment classification. Zou et al.(ACL 2013) Leveraged …

[PDF][PDF] Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification

G Zhou, T He, J Zhao - 2014 - pdfs.semanticscholar.org
Bilingual word embeddings Klementiev et al.(COLING 2012) leveraged bilingual word
embeddings for cross-lingual sentiment classification. Zou et al.(ACL 2013) Leveraged …

Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification

G Zhou, T He, J Zhao - … 2014, Shenzhen, China, December 5-9 …, 2014 - books.google.com
Cross-lingual sentiment classification aims to automatically predict sentiment polarity (eg,
positive or negative) of data in a labelscare target language by exploiting labeled data from …

[PDF][PDF] Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification

G Zhou, T He, J Zhao - tcci.ccf.org.cn
Cross-lingual sentiment classification aims to automatically predict sentiment polarity (eg,
positive or negative) of data in a labelscare target language by exploiting labeled data from …