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 6 of 272 CSV

Twitter sentiment by suburb (SAL), page 6 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
10357	all	New South Wales	18	90	5	5	450	5
10358	all	New South Wales	20	101	4	8	521	5.05
10359	all	New South Wales	1	6	6	6	36	6
10360	all	New South Wales	1	9	9	9	81	9
10361	all	New South Wales	29	156	3	9	904	5.38
10364	all	New South Wales	6	40	5	8	276	6.67
10366	all	New South Wales	1	5	5	5	25	5
10369	all	New South Wales	3	15	5	5	75	5
10370	all	New South Wales	1	5	5	5	25	5
10373	all	New South Wales	24	139	2	9	873	5.79
10378	all	New South Wales	2	12	4	8	80	6
10391	all	New South Wales	1	8	8	8	64	8
10392	all	New South Wales	261	1,444	1	9	8,658	5.53
10394	all	New South Wales	1	5	5	5	25	5
10396	all	New South Wales	31	180	3	9	1,116	5.81
10397	all	New South Wales	1	5	5	5	25	5
10409	all	New South Wales	11	64	3	8	394	5.82
10412	all	New South Wales	1	5	5	5	25	5
10413	all	New South Wales	1	7	7	7	49	7
10416	all	New South Wales	1	5	5	5	25	5
10419	all	New South Wales	2	10	5	5	50	5
10420	all	New South Wales	2	9	4	5	41	4.5
10423	all	New South Wales	1,528	8,486	1	9	52,424	5.55
10428	all	New South Wales	7	46	5	9	326	6.57
10433	all	New South Wales	5	25	5	5	125	5