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        "description": "\u00ef\u00bb\u00bf\n====================================\nEntity recognition using scikit CRF\n====================================\n\n^^^^^^^^^^^^^\nDecscription\n^^^^^^^^^^^^^\n\nThis is a simple python applicaion that uses `sklearn-crfsuite <https://sklearn-crfsuite.readthedocs.io/en/latest/>`_ for entity recognition using ``CRF``.\n\n^^^^^^^^^^^^^\nInstallation\n^^^^^^^^^^^^^\n\nInstall this package using pip by running the follwing command::\n\n\tpip install scikitcrf_ner\n\n^^^^^^\nUsage\n^^^^^^\n\n* import the package using::\n\n\tfrom scikitcrf_ner import entityRecognition\n* Train the model using::\n\n\tentityRecognition.train(\"path\\\\to\\\\trainingfile.json\")\n* Refer the sample training file(``sample_train.json``), the training file should be json formatted\n* Predict the entities by::\n\n\tentityRecognition.predict(\"Utterance\")\n\n^^^^^^^^^^^^\nSample code\n^^^^^^^^^^^^\n\nRefer this sample code::\n\n\tfrom scikitcrf_ner import entityRecognition as ner\n\tner.train(\"sample_train.json\")\n\tentities = ner.predict(\"show me some Indian restaurants\")\n\tprint(entites)\n\n^^^^^^^^\nLicense\n^^^^^^^^\n* ``MIT``",
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