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 58 of 272 CSV

Twitter sentiment by suburb (SAL), page 58 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
14479	all	New South Wales	3	21	5	9	155	7
14480	all	New South Wales	1	3	3	3	9	3
14486	all	New South Wales	336	1,810	1	9	10,178	5.39
14488	all	New South Wales	1	8	8	8	64	8
14493	all	New South Wales	2	10	5	5	50	5
14495	all	New South Wales	3	14	4	5	66	4.67
14504	all	New South Wales	1	2	2	2	4	2
14511	all	New South Wales	68	380	1	9	2,392	5.59
14520	all	New South Wales	4,035	22,297	1	9	135,981	5.53
14524	all	New South Wales	3	19	5	9	131	6.33
14525	all	New South Wales	10	67	5	9	469	6.7
14526	all	New South Wales	3	21	5	9	155	7
14528	all	New South Wales	97	546	1	9	3,430	5.63
14529	all	New South Wales	1	5	5	5	25	5
14535	all	New South Wales	2	13	5	8	89	6.5
14536	all	New South Wales	44	249	1	9	1,559	5.66
14540	all	New South Wales	1	5	5	5	25	5
14542	all	New South Wales	41	213	1	9	1,245	5.2
20004	all	Victoria	4	21	5	6	111	5.25
20006	all	Victoria	18	103	3	8	619	5.72
20008	all	Victoria	2	10	5	5	50	5
20010	all	Victoria	92	495	2	9	2,775	5.38
20011	all	Victoria	1	5	5	5	25	5
20012	all	Victoria	4	22	5	6	122	5.5
20013	all	Victoria	1	5	5	5	25	5