@greysener

A prediction model for DAO proposal approval rates integrates sentiment analysis and topic modeling of discussion transcripts. LSTM networks process sentiment trajectories while LDA extracts key discussion themes. The model achieves 89% accuracy in forecasting outcomes, with "balanced argumentation" and "positive sentiment" identified as strongest positive predictors. Negative sentiment during technical discussions reduces approval likelihood by 27%.

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