Tag

[nlp]

2 cards

Methods & evidenceRCT
First-Order Stochastic Dominance (FOSD) Communication Polarization
Business content and positive sentiment exhibit strong negative Pearson correlation ($\rho = -0.478$ at message level, $\rho = -0.480$ at entrepreneur level, $p < 0.01$). Kolmogorov-Smirnov FOSD test yields $p = 1.0$ for low sentiment dominating high sentiment in business content and $p = 0.0$ for the reverse, confirming strict inverse polarization.
Methods & evidenceRCT
Semantic Natural Language Processing Categorization of Peer Communication
Business content and positive sentiment exhibit a strong negative correlation ($\rho = -0.478, p < 0.01$). Messages from top-performing entrepreneurs FOSD-dominate lower performers in business content ($p_{F_0 \le F_1} = 0.00$) and private audience focus ($p_{F_0 \le F_1} = 0.00$), whereas low-performing entrepreneurs generate significantly higher sentiment ($p_{F_1 \le F_0} = 0.00$).