Sentiment

Twitter sentiment by suburb (SAL)

CouchDB MapReduce _stats per suburb and topic (all tweets, income keywords, crime keywords), Feb-Jul 2022, every Australian state. Rows are keyed by SAL code: join regions_sal for names.

All tablestwitter_sal_sentiment6,799 rows

page 2 of 272 CSV

Twitter sentiment by suburb (SAL), page 2 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
10061	all	New South Wales	379	2,101	1	9	12,841	5.54
10063	all	New South Wales	2	11	5	6	61	5.5
10064	all	New South Wales	9	54	5	7	332	6
10067	all	New South Wales	27	159	5	9	997	5.89
10070	all	New South Wales	3	18	5	8	114	6
10073	all	New South Wales	1	5	5	5	25	5
10077	all	New South Wales	2	12	5	7	74	6
10078	all	New South Wales	8	42	5	7	224	5.25
10079	all	New South Wales	10	51	2	7	279	5.1
10080	all	New South Wales	1	5	5	5	25	5
10081	all	New South Wales	7	48	5	8	338	6.86
10082	all	New South Wales	2	12	5	7	74	6
10086	all	New South Wales	1,195	6,999	1	9	44,411	5.86
10087	all	New South Wales	2	12	5	7	74	6
10088	all	New South Wales	1	4	4	4	16	4
10089	all	New South Wales	17	100	4	8	616	5.88
10091	all	New South Wales	3	15	4	6	77	5
10094	all	New South Wales	1	9	9	9	81	9
10095	all	New South Wales	1	5	5	5	25	5
10100	all	New South Wales	1	5	5	5	25	5
10102	all	New South Wales	2	13	5	8	89	6.5
10104	all	New South Wales	4	20	5	5	100	5
10106	all	New South Wales	2	15	6	9	117	7.5
10109	all	New South Wales	101	577	1	9	3,633	5.71
10110	all	New South Wales	1	7	7	7	49	7