{ "info": { "author": "Digamma.ai", "author_email": "info@digamma.ai", "bugtrack_url": null, "classifiers": [], "description": "The project was developed by `Digamma.ai`_. The goal of the project is\nto develop a library to find and extract time/date information from\ntextual documents.\n\nWhy Should I Use This?\n----------------------\n\nThe main goal is to identify texts fragments that are related to\ntime/date/period (exact date, time of day, day of the week, months,\nseasons, time intervals, etc.) and make structural forms from them. We\ntried to detect a variety of textual representations and handle things\nlike recurring times (e.g. \u201cevery Wednesday\u201d).\n\nInstallation\n------------\n\n::\n\n $ pip install pytimeextractor\n\nYou can also download or checkout the latest code and install from the source:\n\n::\n\n $ python setup.py install\n\nUsage\n-----\n\nTo use it, simply do:\n\n::\n\n >>> from pytimeextractor import ExtractionService\n >>> text = \"from winter to summer\"\n >>> ExtractionService.extract(text)\n\nA ``PySettings`` can be applied to specify some additional extraction\noptions, like setting local user date/time, time-zone offset, filtering\nextraction rules and finding latest dates.\n\n``PySettingsBuilder`` is used for constructing ``PySettings`` instance\nwhen you need to set configuration options other than the default.\n``PySettingsBuilder`` is best used by creating it, and then invoking its\nvarious configuration methods, and finally calling build method.\n\n::\n\n >>> from pytimeextractor import PySettingsBuilder\n >>> settings = (PySettingsBuilder()\n ... .addRulesGroup('DateGroup')\n ... .excludeRules(\"relativeDateRule\")\n ... .addUserDate(\"2017-10-23T18:40:40.931Z\")\n ... .addTimeZoneOffset(\"2\")\n ... .includeOnlyLatestDates(True)\n ... .build()\n ... )\n >>> ExtractionService.extract(text, settings)\n\n.. _Digamma.ai: http://digamma.ai/", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/digamma-ai/timeextractor", "keywords": "NLP text extraction time date", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "pytimeextractor", "package_url": "https://pypi.org/project/pytimeextractor/", "platform": "", "project_url": "https://pypi.org/project/pytimeextractor/", "project_urls": { "Homepage": "https://github.com/digamma-ai/timeextractor" }, "release_url": "https://pypi.org/project/pytimeextractor/0.1.4/", "requires_dist": null, "requires_python": "", "summary": "Time Extractor NLP project - 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