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 160 of 272 CSV

Twitter sentiment by suburb (SAL), page 160 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
41325	all	South Australia	2	12	5	7	74	6
41327	all	South Australia	1	5	5	5	25	5
41329	all	South Australia	14	88	5	9	584	6.29
41332	all	South Australia	2	13	5	8	89	6.5
41333	all	South Australia	23	131	4	9	783	5.7
41334	all	South Australia	3	15	4	6	77	5
41340	all	South Australia	1	5	5	5	25	5
41342	all	South Australia	4	26	5	8	178	6.5
41345	all	South Australia	5	30	5	8	188	6
41349	all	South Australia	53	260	1	9	1,514	4.91
41350	all	South Australia	2	12	6	6	72	6
41351	all	South Australia	1	6	6	6	36	6
41357	all	South Australia	4	22	5	7	124	5.5
41358	all	South Australia	1	5	5	5	25	5
41360	all	South Australia	1	5	5	5	25	5
41362	all	South Australia	1	8	8	8	64	8
41364	all	South Australia	8	43	2	7	249	5.38
41369	all	South Australia	1	5	5	5	25	5
41371	all	South Australia	61	368	2	9	2,376	6.03
41375	all	South Australia	13	85	3	9	611	6.54
41377	all	South Australia	6	31	4	7	165	5.17
41378	all	South Australia	11	60	2	8	356	5.45
41380	all	South Australia	1	2	2	2	4	2
41386	all	South Australia	3	20	5	8	138	6.67
41387	all	South Australia	5	27	3	9	165	5.4