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Import LAPOR! dataset aspirasi & pengaduan into Elasticsearch #5

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ceefour opened this issue Jul 23, 2016 · 0 comments
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Import LAPOR! dataset aspirasi & pengaduan into Elasticsearch #5

ceefour opened this issue Jul 23, 2016 · 0 comments
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@ceefour
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ceefour commented Jul 23, 2016

Based on requirement: 4.5.1 Sentence similarity matching (using Elasticsearch) from LAPOR! database

Main source is LAPOR: Data Aspirasi & Pengaduan: http://data.go.id/dataset/data-aspirasi-dan-pengaduan-masyarakat/resource/e0cf2ab4-8a71-4689-a2af-cf3baa9b61a7

Please import this dataset into Elasticsearch database (https://www.elastic.co/products/elasticsearch) with appropriate modeling / text indexing.

The objective is:

  • you can enter an input sentence, e.g. "banyak sampah bau di jelambar, tolong dibersihkan!" and it will score the documents based on similarity, with document 863 (tracking ID 216750) having the best score (see https://www.lapor.go.id/id/216750/)
@ceefour ceefour added this to the 2.0 milestone Jul 23, 2016
@ceefour ceefour mentioned this issue Aug 1, 2016
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ceefour added a commit that referenced this issue Aug 1, 2016
@ceefour
Integrates with LAPOR! via elasticsearch, pretty cool :) Thanks @gent…
961fc2f 
…ry-swanri! Refs #3, #5.
ceefour added a commit that referenced this issue Aug 1, 2016
@ceefour
Twitter helpdesk integrates with both JSC and Lapor. Refs #3, #5.
e99e282
ceefour added a commit that referenced this issue Aug 1, 2016
@ceefour
Disable MongoDB (who uses this?). Refs #3, #5.
d68c8bc
ceefour added a commit that referenced this issue Aug 1, 2016
@ceefour
Shorten tweet. Refs #3, #5, #4.
559704f
ceefour added a commit that referenced this issue Aug 2, 2016
@ceefour
LAPOR! Threshold = 10.0. Refs #3, #5, #4.
354c58e
ceefour added a commit that referenced this issue Aug 2, 2016
@ceefour
Lapor, refs #3 #5
a2e92f8
@ceefour ceefour closed this as completed Aug 12, 2016
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