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

Table 3

Number of positive and negative sentiment for the Italian metropolitan cities considered.

Metropolitan city	x		y
	Number of sentiment		Population density	Incident with bike
	Positive (P)	Negative (N)	Resident/km^2	Number (year 2019)
Firenze	34	13	288,7	478
Roma	67	42	811,8	459
Napoli	123	33	2653,4	122
Bari	37	54	326,2	185
Reggio Calabria	50	11	172,5	34
Average	62	31	846,9	255,6

Elaboration starting from: Ferrara [17]; Finocchiaro and Iaccarino [18]; Dati Statistici Generali, Automobile Club d’Italia, Localizzazione degli incidenti stradali, 2019.