Extract city and country mentions from Text like GeoText without regex, but FlashText, a Aho-Corasick implementation.

Overview

Build Status Coverage


flashgeotext 🌍

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.

documentation: https://flashgeotext.iwpnd.pw/
introductory blogpost: https://iwpnd.pw/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

Comments
  • Cannot install 0.3.0 or 0.3.1

    Cannot install 0.3.0 or 0.3.1

    Hi:

    I try to install flashgeotext 0.3.1 via pip or pipenv but i get the following error:

    COMAND: pipenv iinstall flashgeotext~=0.3.0

    ERROR: ERROR: Could not find a version that satisfies the requirement flashgeotext~=0.3.0 ERROR: No matching distribution found for flashgeotext~=0.3.0

    How can i solve it?

    Thanks in advance. Best.

    opened by LuciaTajuelo 6
  • Publishing package on conda-forge

    Publishing package on conda-forge

    Hi @iwpnd, this is a great package! Unfortunately, it is not available on conda-forge while flashtext can be found. I'm building a library around it and I can only fetch packages from conda-forge so I'm wondering if you might accept PR to publish on conda-forge eventually. For now the workaround is to embed all flashgeotext as a module statically but I would love to declare it in the dependencies.

    opened by francbartoli 6
  • seem debugging will cause some fatal errors

    seem debugging will cause some fatal errors

    image Hello, your method helps me a lot, and I just wanna debug at some point, but much to my suprise, it will show some fatal errors once debug, how can we solve this probelm image image

    opened by BriskyGates 5
  • Missing cities and countries

    Missing cities and countries

    Hello,

    I have started trying out this library, but it seems to be missing cities and countries mostly from South America. What's the best way to update the cities.json and countries.json files? Is it ok just to add the data in there manually?

    Also, how can this library map Shanghai as China, where is that relation mapped? why does it not behave the same for Caracas?

    >>> geotext.extract(input_text="Living in Caracas", span_info=True)
    {'cities': {'Caracas': {'count': 1, 'span_info': [(10, 17)]}}, 'countries': {}}
    

    Thanks in advance!

    enhancement 
    opened by pythobot 5
  • chore(deps-dev): bump awscli from 1.25.67 to 1.25.68

    chore(deps-dev): bump awscli from 1.25.67 to 1.25.68

    Bumps awscli from 1.25.67 to 1.25.68.

    Changelog

    Sourced from awscli's changelog.

    1.25.68

    • api-change:identitystore: Documentation updates for the Identity Store CLI Reference.
    • api-change:sagemaker: This release adds HyperParameterTuningJob type in Search API.
    Commits
    • 5df5380 Merge branch 'release-1.25.68'
    • 5a9ece8 Bumping version to 1.25.68
    • 2d83b15 Update changelog based on model updates
    • aa1b1b1 Merge branch 'release-1.25.67' into develop
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    dependencies 
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  • TypeError: slice indices must be integers or None or have an __index__ method when span_info is False

    TypeError: slice indices must be integers or None or have an __index__ method when span_info is False

    As per the doc https://flashgeotext.iwpnd.pw/geotext/, the GeoText Class python function extract has an optional argument span_info : bool - return span_info. Defaults to True. However, on passing the span_info argument as false, GeoText fails to parse the text and throws an index slice error.

    Below are the steps to reproduce the error:

    from flashgeotext.geotext import GeoText
    geotext2 = 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.'''
    
    geotext2.extract(input_text=input_text, span_info=False)
    

    Output: > "found_as": [input_text[span_start:span_end]], TypeError: slice indices must be integers or None or have an index method

    bug 
    opened by shreyjakhmolacactus 3
  • Initial impressions and questions of flashgeotext for extracting countries from affiliations

    Initial impressions and questions of flashgeotext for extracting countries from affiliations

    Thanks for posting at https://github.com/elyase/geotext/issues/23#issuecomment-593490351 letting me know about this package. I'm interested in it as a way to extract countries referred to in author affiliations.

    For example, here is an affiliation:

    'Multimodal Computing and Interaction', Saarland University & Department for Computational Biology and Applied Computing, Max Planck Institute for Informatics, Saarbrücken, 66123 Saarland, Germany, Ray and Stephanie Lane Center for Computational Biology, Carnegie Mellon University, Pittsburgh, 15206 PA, USA, Department of Mathematics and Computer Science, Freie Universität Berlin, 14195 Berlin, Germany, Université Pierre et Marie Curie, UMR7238, CNRS-UPMC, Paris, France and CNRS, UMR7238, Laboratory of Computational and Quantitative Biology, Paris, France.

    For my project, I'd like to know what countries are mentioned (either directly or inferred from a place mention inside that country).

    If I run the following (with v0.2.0):

    import flashgeotext.geotext
    geotexter = flashgeotext.geotext.GeoText(use_demo_data=True)
    affil = """\
    'Multimodal Computing and Interaction', Saarland University & Department for Computational Biology and Applied Computing, Max Planck Institute for Informatics, Saarbrücken, 66123 Saarland, Germany, \
    Ray and Stephanie Lane Center for Computational Biology, Carnegie Mellon University, Pittsburgh, 15206 PA, USA, \
    Department of Mathematics and Computer Science, Freie Universität Berlin, 14195 Berlin, Germany, Université Pierre et Marie Curie, UMR7238, CNRS-UPMC, Paris, France and CNRS, UMR7238, Laboratory of Computational and Quantitative Biology, Paris, France.
    """
    geo_text = geotexter.extract(affil, span_info=False)
    geo_text
    

    I get the following output:

    2020-03-02 18:50:46.475 | DEBUG    | flashgeotext.lookup:add:194 - cities added to pool
    2020-03-02 18:50:46.479 | DEBUG    | flashgeotext.lookup:add:194 - countries added to pool
    2020-03-02 18:50:46.480 | DEBUG    | flashgeotext.lookup:_add_demo_data:225 - demo data loaded for: ['cities', 'countries']
    {'cities': {'University': {'count': 2},
      'Saarbrücken': {'count': 1},
      'Carnegie': {'count': 1},
      'Pittsburgh': {'count': 1},
      'Berlin': {'count': 2},
      'Parys': {'count': 2}},
     'countries': {'Germany': {'count': 2},
      'United States': {'count': 1},
      'France': {'count': 2}}}
    

    Some impressions / questions?

    1. Are the city mentions counting towards country mentions? If yes, why does "United States" not have a count of 2 for "Pittsburgh" and "USA".

    2. Is "Parys" for "Paris"... not sure why this conversion is made.

    3. Counting "University" as a city will almost always be a false positive for us, although I'm guessing this is a source data issue.

    Thanks for considering this feedback / helping answer any of these questions.

    bug question 
    opened by dhimmel 3
  • chore(deps-dev): bump markdown-include from 0.7.0 to 0.8.0

    chore(deps-dev): bump markdown-include from 0.7.0 to 0.8.0

    Bumps markdown-include from 0.7.0 to 0.8.0.

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    v0.8.0

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    v0.7.2

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  • chore(deps-dev): bump awscli from 1.27.13 to 1.27.17

    chore(deps-dev): bump awscli from 1.27.13 to 1.27.17

    Bumps awscli from 1.27.13 to 1.27.17.

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    1.27.17

    • api-change:backup: AWS Backup introduces support for legal hold and application stack backups. AWS Backup Audit Manager introduces support for cross-Region, cross-account reports.
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    • api-change:iotwireless: This release includes a new feature for customers to calculate the position of their devices by adding three new APIs: UpdateResourcePosition, GetResourcePosition, and GetPositionEstimate.
    • api-change:kendra: Amazon Kendra now supports preview of table information from HTML tables in the search results. The most relevant cells with their corresponding rows, columns are displayed as a preview in the search result. The most relevant table cell or cells are also highlighted in table preview.
    • api-change:logs: Updates to support CloudWatch Logs data protection and CloudWatch cross-account observability
    • api-change:mgn: This release adds support for Application and Wave management. We also now support custom post-launch actions.
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    • api-change:transcribe: This release adds support for 'inputType' for post-call and real-time (streaming) Call Analytics within Amazon Transcribe.

    1.27.16

    • api-change:grafana: This release includes support for configuring a Grafana workspace to connect to a datasource within a VPC as well as new APIs for configuring Grafana settings.
    • api-change:rbin: This release adds support for Rule Lock for Recycle Bin, which allows you to lock retention rules so that they can no longer be modified or deleted.

    1.27.15

    • api-change:appflow: Adding support for Amazon AppFlow to transfer the data to Amazon Redshift databases through Amazon Redshift Data API service. This feature will support the Redshift destination connector on both public and private accessible Amazon Redshift Clusters and Amazon Redshift Serverless.
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    1.27.14

    • api-change:route53: Amazon Route 53 now supports the Asia Pacific (Hyderabad) Region (ap-south-2) for latency records, geoproximity records, and private DNS for Amazon VPCs in that region.
    Commits
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    dependencies python 
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  • chore(deps-dev): bump poethepoet from 0.16.4 to 0.16.5

    chore(deps-dev): bump poethepoet from 0.16.4 to 0.16.5

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    v0.16.5

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  • chore(deps): bump codecov/codecov-action from 3.1.0 to 3.1.1

    chore(deps): bump codecov/codecov-action from 3.1.0 to 3.1.1

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    3.1.1

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    3.1.1

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    • #661 Update deprecation warning
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    • #713 build(deps-dev): bump typescript from 4.6.3 to 4.6.4
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    dependencies github_actions 
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  • chore(deps): bump actions/cache from 3.2.2 to 3.2.3

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Releases(v0.4.2)
  • v0.4.2(Feb 1, 2022)

  • v0.4.1(Jan 31, 2022)

  • v0.4.0(Sep 13, 2021)

    Summary

    • removed the option to show the span_info and made it a default instead.
    • Additionally .extract now returns under what word (or synonym) the keyword was found in the input text.
    • As the configuration was implemented a little doofy, I updated how the configuration can be passed on init of GeoText.

    Refactor

    Fix

    • Make configuration better (e57150f)
    from flashgeotext.geotext import GeoText, GeoTextConfiguration
    
    config = GeoTextConfiguration(**{"use_demo_data":True})
    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'],
                }
            }
        }
    
    Source code(tar.gz)
    Source code(zip)
  • v0.3.2(Apr 13, 2021)

    • Switching package management to Poetry I accidentally introduced Python 3.8 as minimum requirement. Reverting to Python 3.7 as minimum requirement.
    • Some housekeeping
    Source code(tar.gz)
    Source code(zip)
  • v0.3.1(Apr 7, 2021)

    Loglevel is now set to WARNING by default and can be changed using environment variables.

    For example:

    export LOGURU_LEVEL=DEBUG to enable debug logging.

    Allowed levels are ERROR, WARNING, DEBUG and INFO

    Source code(tar.gz)
    Source code(zip)
  • v0.3.0(Feb 28, 2021)

    Following up on #20 You can now choose to allow to ignore the case of the lookup data.

    from flashgeotext.geotext import GeoText
    geotext = GeoText(config = { "use_demo_data": True, "case_sensitive": True })
    text = "berlin ist ne tolle stadt"
    geotext.extract(input_text=text, span_info=True)
    >> { "cities": { "Berlin": [(0,6)] } 
    
    Source code(tar.gz)
    Source code(zip)
  • v0.2.0(Mar 2, 2020)

    [0.2.0] - 2020-03-02

    • added script argument to LookupData to specify from what script the characters in the lookup will be, see usage, this will make sure that flashgeotext works properly with different character sets (latin, cyrillic, thai etc)
    • demo-data will (for now) use default character set as non_word_boundary, see @issue-13
    Source code(tar.gz)
    Source code(zip)
  • v0.1.0(Feb 25, 2020)

    Initial release of flashgeotext

    Extract and count countries and cities from text, like GeoText on steroids using FlashText, an 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.

    see docs

    Source code(tar.gz)
    Source code(zip)
Owner
Ben
geographer turned spatial engineer turned data-something turned software developer
Ben
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