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Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis ...
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Practical and Ethical Considerations in the Effective use of Emotion and Sentiment Lexicons ...
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The Natural Selection of Words: Finding the Features of Fitness ...
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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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Emotion Intensities in Tweets ...
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Abstract:
This paper examines the task of detecting intensity of emotion from text. We create the first datasets of tweets annotated for anger, fear, joy, and sadness intensities. We use a technique called best--worst scaling (BWS) that improves annotation consistency and obtains reliable fine-grained scores. We show that emotion-word hashtags often impact emotion intensity, usually conveying a more intense emotion. Finally, we create a benchmark regression system and conduct experiments to determine: which features are useful for detecting emotion intensity, and, the extent to which two emotions are similar in terms of how they manifest in language. ... : http://saifmohammad.com/WebPages/EmotionIntensity-SharedTask.html http://saifmohammad.com/WebPages/ResearchAreas.html, In Proceedings of the Sixth Joint Conference on Lexical and Computational Semantics (*Sem), August 2017, Vancouver, Canada ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1708.03696 https://dx.doi.org/10.48550/arxiv.1708.03696
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The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition ...
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Determining word–emotion associations from tweets by multi-label classification
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In: WI'16 (2016)
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Experiments with Three Approaches to Recognizing Lexical Entailment ...
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Tracking Sentiment in Mail: How Genders Differ on Emotional Axes ...
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