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 7 of 272 CSV

Twitter sentiment by suburb (SAL), page 7 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
10436	all	New South Wales	3	15	5	5	75	5
10440	all	New South Wales	1	8	8	8	64	8
10441	all	New South Wales	8	48	5	8	298	6
10446	all	New South Wales	2	13	5	8	89	6.5
10447	all	New South Wales	1	5	5	5	25	5
10452	all	New South Wales	9	52	5	8	314	5.78
10454	all	New South Wales	16	80	2	8	428	5
10455	all	New South Wales	4	18	3	5	84	4.5
10456	all	New South Wales	36	216	1	9	1,410	6
10457	all	New South Wales	1	7	7	7	49	7
10462	all	New South Wales	298	1,725	1	9	10,753	5.79
10466	all	New South Wales	2	10	5	5	50	5
10468	all	New South Wales	79	458	1	9	2,988	5.8
10469	all	New South Wales	12	70	5	9	434	5.83
10472	all	New South Wales	6	31	5	6	161	5.17
10475	all	New South Wales	6	32	5	7	174	5.33
10476	all	New South Wales	1	5	5	5	25	5
10480	all	New South Wales	5	24	1	7	136	4.8
10483	all	New South Wales	4	20	5	5	100	5
10484	all	New South Wales	3	17	5	7	99	5.67
10485	all	New South Wales	34	191	3	9	1,151	5.62
10494	all	New South Wales	1	9	9	9	81	9
10499	all	New South Wales	2	10	5	5	50	5
10500	all	New South Wales	1	9	9	9	81	9
10501	all	New South Wales	9	55	3	9	375	6.11