flashgeotext 0.5.5

Extract and count countries and cities (+their synonyms) from text

---

flashgeotext :zap::earth_africa:

Extract and count countries and cities (+their synonyms) from text, like GeoText on steroids using FlashText, a Aho-Corasick implementation. Flashgeotext is a fast, batteries-included (and BYOD) and native python library that extracts one or more sets of given city and country names (+ synonyms) from an input text.

introductory blogpost: https://iwpnd.github.io/articles/2020-02/flashgeotext-library

Usage

from flashgeotext.geotext import GeoText

geotext = GeoText()

input_text = '''Shanghai. The Chinese Ministry of Finance in Shanghai said that China plans
                to cut tariffs on $75 billion worth of goods that the country
                imports from the US. Washington welcomes the decision.'''

geotext.extract(input_text=input_text)
>> {
    'cities': {
        'Shanghai': {
            'count': 2,
            'span_info': [(0, 8), (45, 53)],
            'found_as': ['Shanghai', 'Shanghai'],
            },
        'Washington, D.C.': {
            'count': 1,
            'span_info': [(175, 185)],
            'found_as': ['Washington'],
            }
        },
    'countries': {
        'China': {
            'count': 1,
            'span_info': [(64, 69)],
            'found_as': ['China'],
            },
        'United States': {
            'count': 1,
            'span_info': [(171, 173)],
            'found_as': ['US'],
            }
        }
    }

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Installing

pip:

pip install flashgeotext

conda:

conda install flashgeotext

for development:

git clone https://github.com/iwpnd/flashgeotext.git
cd flashgeotext/
poetry install

Running the tests

poetry run pytest . -v

Authors

• Benjamin Ramser - Initial work - iwpnd

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Demo Data cities from http://www.geonames.org licensed under the Creative Commons Attribution 3.0 License.

Acknowledgments

• Hat tip to @vi3k6i5 for his paper and implementation