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 204 of 272 CSV

Twitter sentiment by suburb (SAL), page 204 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
70253	all	Northern Territory	3	17	5	7	99	5.67
70254	all	Northern Territory	12	67	4	8	393	5.58
70256	all	Northern Territory	1	5	5	5	25	5
70259	all	Northern Territory	1	4	4	4	16	4
70260	all	Northern Territory	2	12	5	7	74	6
70262	all	Northern Territory	6	27	4	5	123	4.5
70268	all	Northern Territory	1	9	9	9	81	9
70275	all	Northern Territory	1	7	7	7	49	7
70277	all	Northern Territory	1	5	5	5	25	5
70280	all	Northern Territory	2	11	4	7	65	5.5
70282	all	Northern Territory	25	130	5	8	688	5.2
70283	all	Northern Territory	2	8	4	4	32	4
70285	all	Northern Territory	2	10	5	5	50	5
70295	all	Northern Territory	4	26	5	8	174	6.5
70296	all	Northern Territory	5	28	3	7	168	5.6
70297	all	Northern Territory	3	15	5	5	75	5
70299	all	Northern Territory	19	112	2	9	728	5.89
70301	all	Northern Territory	12	58	3	6	286	4.83
70302	all	Northern Territory	180	975	2	9	5,623	5.42
70303	all	Northern Territory	3	17	4	8	105	5.67
80003	all	Australian Capital Territory	56,170	317,253	1	9	1,957,995	5.65
80005	all	Australian Capital Territory	28	140	2	7	720	5
80018	all	Australian Capital Territory	9	59	5	8	397	6.56
80020	all	Australian Capital Territory	2	10	5	5	50	5
80021	all	Australian Capital Territory	5	36	4	8	272	7.2