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 56 of 272 CSV

Twitter sentiment by suburb (SAL), page 56 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
14360	all	New South Wales	1	4	4	4	16	4
14362	all	New South Wales	3	13	3	5	59	4.33
14367	all	New South Wales	7	33	3	6	161	4.71
14368	all	New South Wales	93	465	5	5	2,325	5
14370	all	New South Wales	1	5	5	5	25	5
14371	all	New South Wales	8	42	5	7	224	5.25
14372	all	New South Wales	1	5	5	5	25	5
14373	all	New South Wales	9	53	5	8	327	5.89
14374	all	New South Wales	1	5	5	5	25	5
14375	all	New South Wales	12	64	2	9	382	5.33
14376	all	New South Wales	18,915	108,168	1	9	680,296	5.72
14377	all	New South Wales	366	2,035	1	9	12,683	5.56
14381	all	New South Wales	3	17	4	8	105	5.67
14382	all	New South Wales	8	43	4	7	239	5.38
14383	all	New South Wales	1	5	5	5	25	5
14387	all	New South Wales	2	12	5	7	74	6
14389	all	New South Wales	1	5	5	5	25	5
14391	all	New South Wales	1	5	5	5	25	5
14392	all	New South Wales	1	8	8	8	64	8
14400	all	New South Wales	1	5	5	5	25	5
14404	all	New South Wales	1	5	5	5	25	5
14416	all	New South Wales	1	5	5	5	25	5
14417	all	New South Wales	1	5	5	5	25	5
14420	all	New South Wales	49	263	5	8	1,441	5.37
14421	all	New South Wales	1	5	5	5	25	5