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.
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| sal_codeTEXT | topicTEXT | stateTEXT | tweet_countINTEGER | score_sumINTEGER | score_minINTEGER | score_maxINTEGER | score_sumsqrINTEGER | avg_scoreREAL |
|---|---|---|---|---|---|---|---|---|
| 40433 | all | South Australia | 1 | 9 | 9 | 9 | 81 | 9 |
| 40434 | all | South Australia | 1 | 3 | 3 | 3 | 9 | 3 |
| 40435 | all | South Australia | 93 | 501 | 4 | 9 | 2,797 | 5.39 |
| 40436 | all | South Australia | 1 | 2 | 2 | 2 | 4 | 2 |
| 40437 | all | South Australia | 1 | 5 | 5 | 5 | 25 | 5 |
| 40446 | all | South Australia | 1 | 8 | 8 | 8 | 64 | 8 |
| 40447 | all | South Australia | 3 | 20 | 5 | 8 | 138 | 6.67 |
| 40448 | all | South Australia | 3 | 16 | 4 | 7 | 90 | 5.33 |
| 40457 | all | South Australia | 8 | 44 | 5 | 8 | 250 | 5.5 |
| 40458 | all | South Australia | 16 | 91 | 3 | 9 | 553 | 5.69 |
| 40464 | all | South Australia | 16 | 91 | 4 | 8 | 547 | 5.69 |
| 40474 | all | South Australia | 1,697 | 9,721 | 1 | 9 | 60,543 | 5.73 |
| 40484 | all | South Australia | 1 | 8 | 8 | 8 | 64 | 8 |
| 40497 | all | South Australia | 10 | 50 | 5 | 5 | 250 | 5 |
| 40499 | all | South Australia | 1 | 5 | 5 | 5 | 25 | 5 |
| 40501 | all | South Australia | 3 | 13 | 3 | 5 | 59 | 4.33 |
| 40503 | all | South Australia | 1 | 5 | 5 | 5 | 25 | 5 |
| 40508 | all | South Australia | 3 | 21 | 7 | 7 | 147 | 7 |
| 40510 | all | South Australia | 1 | 5 | 5 | 5 | 25 | 5 |
| 40513 | all | South Australia | 1 | 9 | 9 | 9 | 81 | 9 |
| 40514 | all | South Australia | 2 | 14 | 5 | 9 | 106 | 7 |
| 40518 | all | South Australia | 1 | 5 | 5 | 5 | 25 | 5 |
| 40521 | all | South Australia | 1,931 | 11,086 | 1 | 9 | 70,474 | 5.74 |
| 40525 | all | South Australia | 2 | 13 | 5 | 8 | 89 | 6.5 |
| 40532 | all | South Australia | 2 | 13 | 5 | 8 | 89 | 6.5 |