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1
Learning sentiment-specific word embedding for twitter sentiment classification.
In: http://acl2014.org/acl2014/P14-1/pdf/P14-1146.pdf (2014)
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2
Semantic-preserving word clouds by seam carving
In: http://research.microsoft.com/en-us/um/people/ycwu/Files/eurovis11_cloud.pdf (2011)
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3
Context preserving dynamic word cloud visualization
In: http://research.microsoft.com/en-us/um/people/shliu/cui_pacificvis10.pdf (2010)
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4
Understanding text corpora with multiple facets
In: http://research.microsoft.com/en-us/um/people/shliu/VAST_20100727_FINAL.pdf (2010)
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5
Tiara: a visual exploratory text analytic system
In: http://research.microsoft.com/en-us/um/people/shliu/p153-wei.pdf (2010)
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6
Exploiting the role of position feature in chinese relation extraction
In: http://www.lrec-conf.org/proceedings/lrec2008/pdf/540_paper.pdf (2008)
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7
Lost in Translations? Building Sentiment Lexicons UsingContext Based Machine Translation
In: http://aclweb.org/anthology/C/C12/C12-2081.pdf
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8
A Cluster-Sensitive Graph Model for Query-Oriented Multi-document Summarization
In: http://www.cs.fiu.edu/%7Elli003/Sum/ECIR/2008/1.pdf
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9
Query-Sensitive Mutual Reinforcement Chain and Its Application in Query-Oriented Multi-Document Summarization
In: http://www.cs.fiu.edu/%7Elli003/Sum/SIGIR/2008/4.pdf
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10
Cross-Lingual Mixture Model for Sentiment Classification
In: http://www.aclweb.org/anthology-new/P/P12/P12-1060.pdf
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