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 14 of 272 CSV

Twitter sentiment by suburb (SAL), page 14 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
10972	all	New South Wales	1	5	5	5	25	5
10975	all	New South Wales	2	13	6	7	85	6.5
10985	all	New South Wales	6	35	4	8	219	5.83
10993	all	New South Wales	2	11	5	6	61	5.5
10999	all	New South Wales	9	52	5	9	316	5.78
11002	all	New South Wales	9	57	3	9	391	6.33
11003	all	New South Wales	2	13	6	7	85	6.5
11008	all	New South Wales	1	5	5	5	25	5
11011	all	New South Wales	34	200	2	9	1,274	5.88
11021	all	New South Wales	2	10	5	5	50	5
11022	all	New South Wales	4	20	5	5	100	5
11024	all	New South Wales	13	74	5	8	442	5.69
11025	all	New South Wales	6	31	3	7	173	5.17
11029	all	New South Wales	3	23	7	9	179	7.67
11032	all	New South Wales	2	10	5	5	50	5
11033	all	New South Wales	1	5	5	5	25	5
11036	all	New South Wales	160	885	2	9	5,209	5.53
11043	all	New South Wales	64	366	3	9	2,242	5.72
11044	all	New South Wales	633	3,757	1	9	23,743	5.94
11047	all	New South Wales	1	5	5	5	25	5
11051	all	New South Wales	1	5	5	5	25	5
11052	all	New South Wales	1	2	2	2	4	2
11053	all	New South Wales	57	302	2	8	1,748	5.3
11055	all	New South Wales	1	5	5	5	25	5
11056	all	New South Wales	1	2	2	2	4	2