Moment-based method identifies regression coefficient beta and LDA concentration alpha_0 from response-weighted corrected word moments and commutativity, without per-document topic estimation.
David Card and Stefano DellaVigna
2 Pith papers cite this work. Polarity classification is still indexing.
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TaDaS framework extracts scalable retrospective sentiment measures from text archives via semantic matching and applies it to show economists' AI-related discussion is initially less open and more negative but improves as AI visibility rises in elite journals.
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Moment-Based Inference for Regression with Latent Dirichlet Covariates
Moment-based method identifies regression coefficient beta and LDA concentration alpha_0 from response-weighted corrected word moments and commutativity, without per-document topic estimation.
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Are Economists Open to AI? Text as Data as Survey on Professional Sentiment and Academic Research Trends
TaDaS framework extracts scalable retrospective sentiment measures from text archives via semantic matching and applies it to show economists' AI-related discussion is initially less open and more negative but improves as AI visibility rises in elite journals.