_id	city	regione	Milano Scoreboard edition	X1 = sentiment on Twitter relative to the city (0-100 scale)	X2 = sentiment on Twitter relative to the economy and indu_4	X3 = sentiment on Twitter relative to the arts and famous _5	x1_anno	x2_anno	x3_anno	x1_città/regione	x2_città/regione	x3_città/regione	x1_geo	x2_geo	x3_geo	x1_fonte	x2_fonte	x3_fonte	x1_note	x2_note	x3_note	X1 indice (media=1)	X2 indice (media=1)	X3 indice (media=1)	Score di dimensione (media X123 indicizzati)
1	Milano	Lombardia	2019	89,7	88,1	97,5	2018	2018	2018	Milano	Milano	Milano	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	1,094970703125	1,09960059910135	1,18642005354101	1,12699711858912
2	Barcelona	Cataluña	2019	92,2	83,5	87,2	2018	2018	2018	Barcelona	Barcelona	Barcelona	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	1,12548828125	1,04218671992012	1,06108542224386	1,07625347447133
3	Lyon	Rhône-Alpes	2019	73,5	72,5	70,3	2018	2018	2018	Lyon	Lyon	Lyon	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	0,897216796875	0,904892661008487	0,85543927963008	0,885849579171189
4	München	Bayern	2019	81,1	81,2	88,3	2018	2018	2018	München	München	München	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	0,989990234375	1,01347978032951	1,07447067412996	1,02598022961149
5	Stuttgart	Baden-Württemberg	2019	73,1	75,3	67,6	2018	2018	2018	Stuttgart	Stuttgart	Stuttgart	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	0,892333984375	0,939840239640539	0,822584570455099	0,884919598156879
6	Milano	Lombardia	2018	88,6	82,2	95,4	2017	2017	2017	Milano	Milano	Milano	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	1,08048780487805	1,05330599692465	1,20090634441088	1,11156671540453
7	Barcelona	Cataluña	2018	91	83,4	87,6	2017	2017	2017	Barcelona	Barcelona	Barcelona	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	1,10975609756098	1,06868272680677	1,10271903323263	1,09371928586679
8	Lyon	Rhône-Alpes	2018	80,2	71,8	71,5	2017	2017	2017	Lyon	Lyon	Lyon	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	0,978048780487805	0,920041004613019	0,900050352467271	0,932713379189365
9	München	Bayern	2018	74,9	78,5	73,5	2017	2017	2017	München	München	München	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	0,913414634146341	1,00589441312148	0,925226586102719	0,948178544456845
10	Stuttgart	Baden-Württemberg	2018	75,3	74,3	69,2	2017	2017	2017	Stuttgart	Stuttgart	Stuttgart	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	0,918292682926829	0,952075858534085	0,871097683786506	0,913822075082473
11	Milano	""	2017	81,9	85,5	90,1	2016	2016	2016	Milano	Milano	Milano	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	1,11977030352748	1,1182317551661	1,11648079306072	1,11816095058477
12	Barcelona	""	2017	65,3	75,5	88,4	2016	2016	2016	Barcelona	Barcelona	Barcelona	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	0,89280831282472	0,987444415380591	1,09541511771995	0,991889281975087
13	Lyon	""	2017	60,3	70,2	76,9	2016	2016	2016	Lyon	Lyon	Lyon	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	0,824446267432321	0,918127125294272	0,952912019826518	0,898495137517704
14	München	""	2017	77,3	72,7	66,5	2016	2016	2016	München	München	München	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	1,05687722176648	0,950823960240649	0,824039653035936	0,94391361168102
15	Stuttgart	""	2017	80,9	78,4	81,6	2016	2016	2016	Stuttgart	Stuttgart	Stuttgart	city	city	city	Voices from the Blogs	Voices from the Blogs	Voices from the Blogs	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the city in general. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the economy and industry. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	“Sentiment” is a value ranging from 0 to 100 which reflects the ratio between positive and negative ratings (minus neutral statements) published on Twitter about the arts and famous cultural sites. The analysis was conducted by using iSA© (Integrated Sentiment Analysis) technology, which combines the best algorithm with the accuracy of manual coding, allowing to manage “noise”, double meanings and puns. Data refer to around 11 million tweets geolocalized in the 5 benchmark cities in the respective languages	1,106097894449	1,02537274391839	1,01115241635688	1,04754101824142