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1
Unsupervised Aspect Discovery from Online Consumer Reviews
Suleman, Kaheer. - 2014
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2
Toward a unifying model for Opinion, Sentiment and Emotion information extraction
In: The 9th International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01613403 ; The 9th International Conference on Language Resources and Evaluation, May 2014, Reykjavik, Iceland. pp.3881-3886 ; http://www.lrec-conf.org/proceedings/lrec2014/index.html (2014)
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3
DCU: aspect-based polarity classification for SemEval task 4
In: Wagner, Joachim orcid:0000-0002-8290-3849 , Arora, Piyush orcid:0000-0002-4261-2860 , Cortes, Santiago, Barman, Utsab, Bogdanova, Dasha, Foster, Jennifer orcid:0000-0002-7789-4853 and Tounsi, Lamia (2014) DCU: aspect-based polarity classification for SemEval task 4. In: International Workshop on Semantic Evaluation (SemEval-2014), 23-24 Aug 2014, Dublin, Ireland. ISBN 978-1-941643-24-2 (2014)
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4
Annals of A Model to Compute Degree of Polarity of Review Titles
In: http://www.researchmathsci.org/apamart/apam-v7n1-11.pdf (2014)
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5
The USAGE review corpus for fine-grained, multi-lingual opinion analysis ...
Klinger, Roman. - : Bielefeld University, 2014
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6
The USAGE review corpus for fine-grained, multi-lingual opinion analysis ...
Klinger, Roman. - : Bielefeld University, 2014
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7
The USAGE review corpus for fine-grained, multi-lingual opinion analysis
Klinger, Roman. - : Bielefeld University, 2014
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8
Three Essays on Opinion Mining of Social Media Texts
In: Theses and Dissertations (2014)
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9
Automatic creation of stock market lexicons for sentiment analysis using StockTwits data
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10
Twitris v3: From Citizen Sensing to Analysis, Coordination and Action
In: Amit P. Sheth (2014)
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