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 40 of 272 CSV

Twitter sentiment by suburb (SAL), page 40 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
13070	all	New South Wales	75	471	3	9	3,135	6.28
13071	all	New South Wales	9	58	4	9	402	6.44
13072	all	New South Wales	1	5	5	5	25	5
13073	all	New South Wales	2	10	5	5	50	5
13075	all	New South Wales	12	79	5	9	547	6.58
13079	all	New South Wales	96	502	1	9	2,910	5.23
13081	all	New South Wales	73	422	1	9	2,700	5.78
13084	all	New South Wales	116	640	1	9	3,804	5.52
13086	all	New South Wales	22	122	4	9	710	5.55
13091	all	New South Wales	3	16	4	8	96	5.33
13094	all	New South Wales	6	28	3	5	134	4.67
13103	all	New South Wales	2,654	16,031	1	9	105,123	6.04
13106	all	New South Wales	10	57	5	8	337	5.7
13112	all	New South Wales	4	21	5	6	111	5.25
13114	all	New South Wales	3	19	5	7	123	6.33
13120	all	New South Wales	1	9	9	9	81	9
13125	all	New South Wales	2	10	5	5	50	5
13136	all	New South Wales	1	5	5	5	25	5
13138	all	New South Wales	24	121	3	7	619	5.04
13142	all	New South Wales	7	37	5	7	199	5.29
13151	all	New South Wales	154	897	1	9	5,623	5.82
13159	all	New South Wales	4	25	5	8	163	6.25
13162	all	New South Wales	682	3,887	1	9	25,277	5.7
13166	all	New South Wales	6	33	4	7	189	5.5
13167	all	New South Wales	90	538	2	9	3,464	5.98