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 39 of 272 CSV

Twitter sentiment by suburb (SAL), page 39 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
12966	all	New South Wales	18	113	5	9	747	6.28
12974	all	New South Wales	21	110	3	9	604	5.24
12975	all	New South Wales	5	27	5	6	147	5.4
12983	all	New South Wales	3	17	5	7	99	5.67
12985	all	New South Wales	10	50	1	8	288	5
12986	all	New South Wales	5	33	5	9	231	6.6
12990	all	New South Wales	4	21	5	6	111	5.25
12992	all	New South Wales	1,166	6,282	1	9	36,828	5.39
12996	all	New South Wales	1	7	7	7	49	7
12998	all	New South Wales	9	47	3	8	259	5.22
13007	all	New South Wales	1	7	7	7	49	7
13012	all	New South Wales	4	26	6	8	172	6.5
13018	all	New South Wales	1	5	5	5	25	5
13029	all	New South Wales	1	9	9	9	81	9
13033	all	New South Wales	1	5	5	5	25	5
13035	all	New South Wales	84	563	2	9	4,115	6.7
13036	all	New South Wales	10	51	3	7	271	5.1
13039	all	New South Wales	593	3,508	1	9	22,720	5.92
13051	all	New South Wales	3	22	5	9	170	7.33
13053	all	New South Wales	1	5	5	5	25	5
13054	all	New South Wales	11	56	3	7	302	5.09
13058	all	New South Wales	1	5	5	5	25	5
13060	all	New South Wales	99	573	2	9	3,543	5.79
13064	all	New South Wales	1	3	3	3	9	3
13065	all	New South Wales	9	56	5	9	368	6.22