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         @@ -16,3 +16,5 @@ This RoBERTa-based model ("MindMiner") can classify the degree of mind perceptio 
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            The model was fine-tuned on 997 manually annotated open-ended survey responses. 
         
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            The hold-out accuracy is 75.5% (vs. a balanced 50% random-chance baseline).
         
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            The model was fine-tuned on 997 manually annotated open-ended survey responses. 
         
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            The hold-out accuracy is 75.5% (vs. a balanced 50% random-chance baseline).
         
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            Hartmann, J., Bergner, A., & Hildebrand, C. (2023). MindMiner: Uncovering Linguistic Markers of Mind Perception as a New Lens to Understand Consumer-Smart Object Relationships. Journal of Consumer Psychology, Forthcoming.
         
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