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 55 of 272 CSV

Twitter sentiment by suburb (SAL), page 55 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
14252	all	New South Wales	5	34	5	8	242	6.8
14255	all	New South Wales	6	29	3	6	145	4.83
14263	all	New South Wales	1	5	5	5	25	5
14266	all	New South Wales	3	20	4	9	146	6.67
14278	all	New South Wales	18	109	4	9	705	6.06
14284	all	New South Wales	2	17	8	9	145	8.5
14289	all	New South Wales	5	25	5	5	125	5
14291	all	New South Wales	3	15	5	5	75	5
14296	all	New South Wales	2	10	5	5	50	5
14298	all	New South Wales	1	2	2	2	4	2
14305	all	New South Wales	241	1,445	1	9	9,285	6
14307	all	New South Wales	13	77	5	7	469	5.92
14316	all	New South Wales	8	43	3	8	245	5.38
14325	all	New South Wales	1	5	5	5	25	5
14329	all	New South Wales	39	177	1	9	881	4.54
14330	all	New South Wales	4	19	4	5	91	4.75
14334	all	New South Wales	1	7	7	7	49	7
14335	all	New South Wales	1	5	5	5	25	5
14336	all	New South Wales	1	3	3	3	9	3
14345	all	New South Wales	12	65	2	8	383	5.42
14347	all	New South Wales	1	5	5	5	25	5
14348	all	New South Wales	12	62	2	9	380	5.17
14349	all	New South Wales	1	9	9	9	81	9
14350	all	New South Wales	236	1,325	1	9	8,333	5.61
14352	all	New South Wales	3	20	4	8	144	6.67