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 206 of 272 CSV

Twitter sentiment by suburb (SAL), page 206 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
80071	all	Australian Capital Territory	4	21	3	8	131	5.25
80075	all	Australian Capital Territory	8	49	5	8	313	6.12
80077	all	Australian Capital Territory	15	95	5	9	633	6.33
80080	all	Australian Capital Territory	1	5	5	5	25	5
80086	all	Australian Capital Territory	5	27	4	8	155	5.4
80091	all	Australian Capital Territory	3,823	20,851	1	9	126,045	5.45
80092	all	Australian Capital Territory	10	54	3	9	316	5.4
80093	all	Australian Capital Territory	2	10	5	5	50	5
80096	all	Australian Capital Territory	11	62	5	9	370	5.64
80099	all	Australian Capital Territory	1	7	7	7	49	7
80100	all	Australian Capital Territory	7	43	1	9	309	6.14
80101	all	Australian Capital Territory	1	5	5	5	25	5
80106	all	Australian Capital Territory	3	20	5	9	142	6.67
80110	all	Australian Capital Territory	28	158	3	8	936	5.64
80111	all	Australian Capital Territory	14	80	3	8	488	5.71
80112	all	Australian Capital Territory	50	293	3	9	1,819	5.86
80114	all	Australian Capital Territory	1	5	5	5	25	5
80116	all	Australian Capital Territory	114	632	1	9	4,078	5.54
80120	all	Australian Capital Territory	6	36	5	8	224	6
80122	all	Australian Capital Territory	6	39	5	9	267	6.5
80126	all	Australian Capital Territory	11	69	2	9	479	6.27
80127	all	Australian Capital Territory	3	15	3	8	89	5
80130	all	Australian Capital Territory	2	12	5	7	74	6
80131	all	Australian Capital Territory	3	21	5	8	153	7
80134	all	Australian Capital Territory	9	63	5	9	463	7