covid19/transliterations
2020-03-28 09:58:43 -07:00
..
analysis a minimal example in R that outputs a table of top 5 related search terms per day per query 2020-03-28 10:18:33 -05:00
data add output files from tranliteration search using google trends 2020-03-27 16:53:03 -07:00
src expand wikidata search to get keywords from google trends 2020-03-27 16:52:19 -07:00
README.md Finish MVP for transliterations 2020-03-24 22:06:45 -07:00
requirements.txt add mwapi to requirements 2020-03-27 20:05:07 -07:00

Transliterations

This part of the project collects tranliterations of key phrases related to COVID-19 using Wikidata. We search the Wikidata API for entities in src/wikidata_search.py and then we make simple SPARQL queries in src/wikidata_transliterations.py to collect labels and aliases the entities. The labels come with language metadata. This seems to provide a decent initial list of relevant terms across multiple languages.