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 12 of 272 CSV

Twitter sentiment by suburb (SAL), page 12 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
10812	all	New South Wales	10	62	5	8	406	6.2
10814	all	New South Wales	3	19	5	8	125	6.33
10817	all	New South Wales	3	17	5	7	99	5.67
10830	all	New South Wales	13	77	3	9	493	5.92
10831	all	New South Wales	2	11	5	6	61	5.5
10838	all	New South Wales	1	4	4	4	16	4
10839	all	New South Wales	1	5	5	5	25	5
10842	all	New South Wales	415	2,344	1	9	14,172	5.65
10847	all	New South Wales	4	17	2	5	79	4.25
10849	all	New South Wales	3	20	5	8	138	6.67
10851	all	New South Wales	2	18	9	9	162	9
10852	all	New South Wales	3	22	5	9	170	7.33
10853	all	New South Wales	9	51	4	8	303	5.67
10854	all	New South Wales	1	5	5	5	25	5
10856	all	New South Wales	9	48	3	9	276	5.33
10858	all	New South Wales	2	10	5	5	50	5
10861	all	New South Wales	4	23	4	9	147	5.75
10866	all	New South Wales	1	7	7	7	49	7
10873	all	New South Wales	28	147	3	9	805	5.25
10877	all	New South Wales	937	5,302	1	9	33,602	5.66
10883	all	New South Wales	6	45	5	9	347	7.5
10891	all	New South Wales	112	650	1	9	4,100	5.8
10893	all	New South Wales	2	10	5	5	50	5
10894	all	New South Wales	1	5	5	5	25	5
10897	all	New South Wales	16	94	4	9	590	5.88