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In the text “Locating Place Names At Scale: Using Natural Language Processing To Identify Geographical Information In Text” the writers discussed the problem of “How might we be able to more accurately predict the exact location using the broader context?”. After they gave the solution to that problem by using computational methods that can predict the exact geolocation of the place mentioned in the text analyzed by its context. Those methods included NER, Google API and FWP. At last, they showed how can that make a difference in the two figures attached to the article.

I think this article was an eye-opener since I have never considered how we should take everything in mind when interpreting our data.