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    "info": {
        "author": "Pierre Oberholzer",
        "author_email": "pierre.oberholzer@alpina-analytics.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: GNU Affero General Public License v3",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# Payment text parser\n\n### Description\n\n\nInputs a text string and parses entity/address free text input to:\n- Flag entity fields ('ORG' for companies, 'PER' for individuals, 'PER_ORG' for uncertain decision) <= Based on [Spacy](https://spacy.io/)\n- Flag address components of the address ('house number', 'town', 'country', ...) <= Based on [Libpostal](https://github.com/openvenues/libpostal)\n- Flag other fields (i.e. not entity nor address) with POS tags ('NE', 'ADJ', 'NN', ..) <= Based on [CoreNLP](https://stanfordnlp.github.io/CoreNLP/)\n\nMore generally, the package includes following features:\n- A data generator for entity/address fields and free text fields (based on open data)\n- A model distinguishing entity/address field from free text (using Keras/TensorFlow and CoreNLP) to apply dedicated heuristics\n- A series of cleaning_postprocessing steps including true case recognition (CoreNLP)\n- A parser of entity/address/other fields as described above using re-trained vanilla Spacy model (based on labeled open data)\n- Simple heuristics and metrics applied after the parsing to improve accuracy\n- Part-of-speech (POS) tagging of the remaining flags (Spacy and/or CoreNLP) for downstream processing\n\nThis package is specifically intended to be used together with the upstream Swiftflow pipeline that parses\nall fields from the SWIFT MT messages, including the entity/address and free text fields, which are decisive for inter-banking\ntransactional communication.\n\n### Installation\n\nThe package uses essentally Libpostal and Spacy.\nAlso, it uses Keras on Tensorflow to recognize if the text input is a free text or an entity/address text.\n\n#### Pre-requiste: Libpostal\n\nRefer to [Libpostal installation](https://github.com/openvenues/libpostal).\nOnce Libpostal is installed, the Python binder `postal` will be installed as part\nof the package with pip (see below)\n\n#### Payment_text_parser\n\nThe other dependencies, including [Spacy](https://spacy.io/), will be installed via `pip` on the present package:\n\n#### Create environment\n\n```\n/usr/local/bin/python3 -m venv <my_env>\nsource <my_env>/bin/activate`\n```\n\n##### From pip\n\n```\npip install payment_text_parser\npython -m spacy download de_core_news_sm\n```\n\n##### From git\n\n```\npip install git+https://gitlab.com/alpina-analytics/payment_text_parser.git\npython -m spacy download de_core_news_sm\n```\n\n#### From requirements.txt\n\n```\ngit clone https://gitlab.com/alpina-analytics/payment_text_parser.git\ncd payment_text_parser\npip install -r requirements.txt\npython -m spacy download de_core_news_sm\nexport PYTHONPATH=$(pwd)\n```\n\n### Usage\n\n#### Script\n\n```\nfrom entity_extractor.entity_extractor import ExtractorClass\ne = ExtractorClass(text)\nd_res = e.d_res\n```\n\n#### Webserver\n\n```\n# Launch\npython main.py\n\n# Test\ncurl -H \"Content-type: application/json\" -X POST http://127.0.0.1:5000/parse -d '{\"text\":\"John Deere Les Abues 2 75000 Paris\"}'\n```\n\n#### Optional : start Stanford NLP server\n\nRequired if :\n- Field type detection enabled by `ExtractorClass(text,check_field_type=True)`\n- POS-tagging of rest fields enabled by `ExtractorClass(text,create_nlp_tags_rest_text=True)`\nIf not started, an warning message will be prompted, however full processing can still take place.\n\nCoreNLP server can be started as follow:\n\n```\ncd ./core_nlp/stanford-corenlp-full-2018-10-05\njava -Xmx4g -cp \"*\" edu.stanford.nlp.pipeline.StanfordCoreNLPServer \\\n-serverProperties StanfordCoreNLP-german.properties \\\n-preload tokenize,ssplit,pos,parse \\\n-status_port 9000  -port 9000 -timeout 15000\n```\n\n### References\n\n#### Spacy\n\nhttps://spacy.io/\n\n#### Libpostal\n\nhttps://github.com/openvenues/libpostal\n\n#### CoreNLP\n\nhttps://stackoverflow.com/questions/33259191/installing-libicu-dev-on-mac\nhttps://stackoverflow.com/questions/50217214/import-error-for-icu-in-mac-and-ubuntu-although-pyicu-is-installed-correctly/50364835#50364835\nhttps://www.khalidalnajjar.com/setup-use-stanford-corenlp-server-python/\n\n",
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