LocationExtractor
A Python library for extracting place names from text or URLs and adding country, region, or city context.
Source-backed walkthrough · not an application demo
Explore the project.
Editorial visualization of the documented project flow. This is not a source screenshot or a running application.
01Text or URL+
The library accepts text or extracts article text from a URL; this walkthrough does not fetch arbitrary visitor URLs.
02Find place names+
The documented pipeline uses NLP and fuzzy matching to identify geographic references.
03Add geographic context+
Country and region lookups enrich names. No fabricated extraction output is presented as a library result.
An explanatory walkthrough of the documented project—not a recreation of its original user interface. See the source for implementation details.
Place names with context
A place name on its own can be ambiguous. LocationExtractor aims to identify geographic references in text or web content and give them useful context, such as whether a name refers to a country, a region, or a city.
Building blocks
The README describes a library based on geograpy, using NLTK for entity recognition, newspaper for text extraction, jellyfish for fuzzy matching, and pycountry for geographic lookups. It also acknowledges the external geographic datasets used by the project.
A library, not an original dashboard
The linked repository does not present a finished product interface. Its installation and basic-usage sections remain incomplete, so this page does not claim a production-ready package or measured extraction accuracy.
The interactive walkthrough explains the documented processing stages. A future text-input playground should run the actual library, clearly distinguish extracted results from fixtures, and avoid unrestricted server-side URL fetching.