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 49 of 272 CSV

Twitter sentiment by suburb (SAL), page 49 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
13832	all	New South Wales	1	5	5	5	25	5
13833	all	New South Wales	3	17	3	9	115	5.67
13835	all	New South Wales	7	39	4	8	229	5.57
13838	all	New South Wales	2,781	16,363	1	9	106,095	5.88
13842	all	New South Wales	15	94	2	9	656	6.27
13844	all	New South Wales	1	5	5	5	25	5
13851	all	New South Wales	3	15	5	5	75	5
13854	all	New South Wales	4	20	5	5	100	5
13855	all	New South Wales	20	111	5	8	635	5.55
13863	all	New South Wales	8	49	5	8	309	6.12
13864	all	New South Wales	52	334	2	9	2,286	6.42
13866	all	New South Wales	1	3	3	3	9	3
13867	all	New South Wales	2	10	5	5	50	5
13868	all	New South Wales	168	946	1	9	5,740	5.63
13877	all	New South Wales	1	5	5	5	25	5
13883	all	New South Wales	1	8	8	8	64	8
13884	all	New South Wales	6	31	5	6	161	5.17
13887	all	New South Wales	1	7	7	7	49	7
13893	all	New South Wales	1	7	7	7	49	7
13895	all	New South Wales	36	188	5	8	996	5.22
13897	all	New South Wales	1	7	7	7	49	7
13900	all	New South Wales	5	30	5	8	188	6
13902	all	New South Wales	4	30	5	9	236	7.5
13903	all	New South Wales	54	313	1	9	2,017	5.8
13907	all	New South Wales	23	148	3	9	1,016	6.43