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 121 of 272 CSV

Twitter sentiment by suburb (SAL), page 121 of 272
sal_codeTEXT	topicTEXT	stateTEXT	tweet_countINTEGER	score_sumINTEGER	score_minINTEGER	score_maxINTEGER	score_sumsqrINTEGER	avg_scoreREAL
31449	all	Queensland	2	13	6	7	85	6.5
31450	all	Queensland	1	9	9	9	81	9
31459	all	Queensland	2	10	5	5	50	5
31463	all	Queensland	1	2	2	2	4	2
31471	all	Queensland	4	27	5	8	187	6.75
31475	all	Queensland	1	8	8	8	64	8
31481	all	Queensland	17	97	2	9	631	5.71
31485	all	Queensland	1	8	8	8	64	8
31491	all	Queensland	1	5	5	5	25	5
31492	all	Queensland	85	582	3	9	4,172	6.85
31497	all	Queensland	7	34	2	8	184	4.86
31503	all	Queensland	20	108	3	8	610	5.4
31504	all	Queensland	2	9	4	5	41	4.5
31506	all	Queensland	41	262	5	9	1,754	6.39
31509	all	Queensland	1	5	5	5	25	5
31514	all	Queensland	2	11	4	7	65	5.5
31516	all	Queensland	4	20	5	5	100	5
31517	all	Queensland	2	10	5	5	50	5
31519	all	Queensland	3	19	5	7	123	6.33
31522	all	Queensland	27	142	2	8	776	5.26
31525	all	Queensland	3	17	5	7	99	5.67
31527	all	Queensland	10	56	3	8	336	5.6
31529	all	Queensland	6	32	4	7	176	5.33
31533	all	Queensland	5	30	5	8	186	6
31541	all	Queensland	1	8	8	8	64	8