{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "distinct-oriental",
   "metadata": {},
   "source": [
    "# <center>How to use the spaCy PhraseMatcher</center>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "announced-principle",
   "metadata": {},
   "source": [
    "<center>Dr. W.J.B. Mattingly</center>\n",
    "\n",
    "<center>Smithsonian Data Science Lab and United States Holocaust Memorial Museum</center>\n",
    "\n",
    "<center>August 2021</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "palestinian-praise",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Enabling eager execution\n",
      "INFO:tensorflow:Enabling v2 tensorshape\n",
      "INFO:tensorflow:Enabling resource variables\n",
      "INFO:tensorflow:Enabling tensor equality\n",
      "INFO:tensorflow:Enabling control flow v2\n"
     ]
    }
   ],
   "source": [
    "import spacy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "impaired-pavilion",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}