Describe the bug
Countries that are also addressed by their acronyms, such as UK for the United Kingdom are showing up as two different international destination nodes on the travel cluster graph. You can see "UK" and "United Kingdom" as two separate nodes in the screenshot below. Similarly, "US" and "USA" are showing up as two separate international destination nodes on the graph. This is leading to skewing and misrepresentation of information.
To Reproduce
Steps to reproduce the behavior:
Go to 'www.covid19india.org'
Click on 'Clusters' tab
Select 'Travel' cluster filter
You would notice "UK" and "United Kingdom", and "USA" and "US" as separate nodes on the graph
Expected behavior
Countries and their aliases should be merged and represented as a single node.
Screenshots
Additional context
The problem is probably cropping up due to the crawling of CSV values in Patient Notes and not processing them for alias values before mapping them on to nodes.
This repo is using the NLP api for making structured travel data out of unstructured notes from https://github.com/NirantK/coronaIndia. Possible to report it on that repo?
Describe the bug Countries that are also addressed by their acronyms, such as UK for the United Kingdom are showing up as two different international destination nodes on the travel cluster graph. You can see "UK" and "United Kingdom" as two separate nodes in the screenshot below. Similarly, "US" and "USA" are showing up as two separate international destination nodes on the graph. This is leading to skewing and misrepresentation of information.
To Reproduce Steps to reproduce the behavior:
Expected behavior Countries and their aliases should be merged and represented as a single node.
Screenshots
Additional context The problem is probably cropping up due to the crawling of CSV values in Patient Notes and not processing them for alias values before mapping them on to nodes.
Related Issue
147