Sentiment Analysis Models with Bayesian Approach: A Bike Preference Application in Metropolitan Cities

Table 2

Elasticity evaluation adopting the posterior parameters in the numerical example.

User	Sentiment	User characteristics y
		1	2	3	4
Z	P	0,05	—	—	−0,12
	N	—	−0,10	—	—
	E	—	—	−0,37	−0,16
W	P	0,05	—	—	−0,16
	N	—	−0,36	—	—
	E	—	—	−0,11	−0,18