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 27 of 272 CSV

Twitter sentiment by suburb (SAL), page 27 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
12030	all	New South Wales	5	23	3	5	109	4.6
12032	all	New South Wales	7	53	5	9	423	7.57
12033	all	New South Wales	1	7	7	7	49	7
12035	all	New South Wales	10	50	5	5	250	5
12036	all	New South Wales	48	297	1	9	2,041	6.19
12039	all	New South Wales	228	1,267	1	9	7,561	5.56
12041	all	New South Wales	9	52	5	8	312	5.78
12042	all	New South Wales	5	25	5	5	125	5
12043	all	New South Wales	21	112	5	7	608	5.33
12051	all	New South Wales	1	6	6	6	36	6
12052	all	New South Wales	3	20	6	7	134	6.67
12053	all	New South Wales	83	422	2	8	2,250	5.08
12054	all	New South Wales	18	109	1	9	737	6.06
12059	all	New South Wales	1	7	7	7	49	7
12060	all	New South Wales	4	24	5	7	148	6
12065	all	New South Wales	32	176	2	9	1,036	5.5
12066	all	New South Wales	11	57	5	7	299	5.18
12073	all	New South Wales	1	5	5	5	25	5
12077	all	New South Wales	17	91	5	7	497	5.35
12080	all	New South Wales	1	5	5	5	25	5
12081	all	New South Wales	2	13	5	8	89	6.5
12082	all	New South Wales	1	5	5	5	25	5
12084	all	New South Wales	5	25	2	9	155	5
12085	all	New South Wales	20	113	4	9	673	5.65
12096	all	New South Wales	5	33	5	8	225	6.6