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Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model ...
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Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model ...
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NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake ...
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Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems ...
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Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best-Worst Scaling ...
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Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation ...
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The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition ...
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Using Nuances of Emotion to Identify Personality
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In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 7 No. 1 (2013): Seventh International AAAI Conference on Weblogs and Social Media ; 2334-0770 ; 2162-3449 (2013)
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NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets ...
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ExaCT: automatic extraction of clinical trial characteristics from journal publications
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In: Kiritchenko, Svetlana; de Bruijn, Berry; Carini, Simona; Martin, Joel; & Sim, Ida. (2010). ExaCT: automatic extraction of clinical trial characteristics from journal publications. BMC Medical Informatics and Decision Making, 10(1), 56. doi: http://dx.doi.org/10.1186/1472-6947-10-56. Retrieved from: http://www.escholarship.org/uc/item/346310h7 (2010)
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