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It uses\nnames of countries and almost 500 large cities and returns *ISO 3166-1 code*\nof country, its *name* and *list of matches* found in the text. Module can\nrecognise international and local names, some of them in more language mutations,\nsuch as EN, ES, FR, DE, CZ.\n\nHandles special characters, flags and emojis, so you can analyse any text\nwithout need of preprocessing.\n\n\n## Installation (NPM)\n\n\tnpm install --save country-in-text-detector\n\n\n## Examples\n\nYou can also find these examples in *examples.js* file.\n\n```javascript\nvar countryDetector = require(\"country-in-text-detector\");\n\n// handles countries in text, result is array of matches (objects)\nvar result = countryDetector.detect(\"Hello, I come from Germany!\");\n/*\n[\n\t{ iso3166: 'DE', name: 'Germany', type: 'country', matches: [ 'Germany' ] }\n]\n*/\n\n// handles large cities in text\nvar cities = countryDetector.detect(\"I just moved from Austin, TX to NYC.\");\n/*\n[\n\t{ iso3166: 'US-NY', name: 'New York City', countryName: 'New York',  type: 'city', matches: [ 'NYC' ] },\n\t{ iso3166: 'US-TX', name: 'Austin', countryName: 'Texas', type: 'city', matches: [ 'Austin, TX' ] }\n]\n*/\n\n// handles local/international names\nvar local = countryDetector.detect(\"RU: Я родился в России. EN: I was born in Russia.\");\n/*\n[\n\t{ iso3166: 'RU', name: 'Russia', type: 'country', matches: [ 'России', 'Russia' ] }\n]\n*/\n\n// handles frequent language mutations\nvar mutations = countryDetector.detect(\"FR: J'ai vécu en Italie. EN: I lived in Italy.\");\n/*\n[\n\t{ iso3166: 'IT', name: 'Italy', type: 'country', matches: [ 'Italie', 'Italy' ] }\n]\n*/\n\n// handles special characters and emojis\nvar special = countryDetector.detect(\"Adoro❤️ o 🇧🇷Rio~de~Janeiro💃🏼 !\");\n/*\n[\n\t{ iso3166: 'BR', name: 'Rio de Janeiro', countryName: 'Brazil', type: 'city', matches: [ 'Rio~de~Janeiro' ] }\n]\n*/\n```","maintainers":[{"name":"bosy.princ","email":"ing.janrus@gmail.com"}],"time":{"modified":"2022-06-14T01:59:40.360Z","created":"2017-11-06T13:37:10.602Z","1.0.0":"2017-11-06T13:37:10.602Z","1.0.1":"2017-11-06T14:03:27.822Z","1.0.2":"2017-11-07T22:17:11.806Z","1.0.3":"2017-11-08T10:50:15.779Z","1.0.4":"2017-11-09T11:49:29.926Z","1.0.5":"2017-11-13T09:15:54.574Z","1.0.6":"2017-11-14T14:26:27.577Z","1.0.7":"2017-11-14T15:04:38.211Z","1.0.8":"2017-11-21T13:23:11.894Z","1.0.9":"2017-11-22T14:25:11.834Z","1.0.10":"2017-11-27T08:48:57.565Z"},"homepage":"https://github.com/jan-rus/country-in-text-detector#readme","keywords":["country","state","city","detection","identification","string","location"],"repository":{"type":"git","url":"git+ssh://git@github.com/jan-rus/country-in-text-detector.git"},"author":{"name":"Jan Rus","email":"ing.janrus@gmail.com","url":"https://cz.linkedin.com/in/rusjan"},"bugs":{"url":"https://github.com/jan-rus/country-in-text-detector/issues"},"license":"MIT","readmeFilename":"README.md"}