docs/notebooks/context.ipynb

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   "source": [
    "sentences = ['Psychose in voorgeschiedenis.',\n",
    "             'Pas op voor psychotische verschijnselen bij voorschrijven medicatie.',\n",
    "             'Broer bekend met psychose.',\n",
    "             'Patient is niet psychotisch, maar wel depressief']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Context Matching"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from psynlp.entity import BasicEntityMatcher\n",
    "from psynlp.context import ContextMatcher"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "spacy_model_name = \"default_model\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "entity_phrases = {}\n",
    "\n",
    "entity_phrases['psychose'] = ['psychose', 'psychotisch', 'psychotische verschijnselen']\n",
    "entity_phrases['depressie'] = ['depressie', 'depressief', 'depressieve verschijnselen']\n",
    "\n",
    "bem = BasicEntityMatcher(entity_phrases, spacy_model_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "cm = ContextMatcher(spacy_model_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Psychose in voorgeschiedenis.\n",
      "  token_span=(0, 1), rule=psychose, text=Psychose, context=['PATIENT', 'AFFIRMED', 'PLAUSIBLE', 'HISTORICAL']\n",
      "\n",
      "Pas op voor psychotische verschijnselen bij voorschrijven medicatie.\n",
      "  token_span=(3, 5), rule=psychose, text=psychotische verschijnselen, context=['PATIENT', 'AFFIRMED', 'PLAUSIBLE', 'CURRENT']\n",
      "\n",
      "Broer bekend met psychose.\n",
      "  token_span=(3, 4), rule=psychose, text=psychose, context=['OTHER', 'AFFIRMED', 'PLAUSIBLE', 'CONTINUOUS']\n",
      "\n",
      "Patient is niet psychotisch, maar wel depressief\n",
      "  token_span=(3, 4), rule=psychose, text=psychotisch, context=['PATIENT', 'NEGATED', 'PLAUSIBLE', 'CURRENT']\n",
      "  token_span=(7, 8), rule=depressie, text=depressief, context=['PATIENT', 'AFFIRMED', 'PLAUSIBLE', 'CURRENT']\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for sentence in sentences:\n",
    "\n",
    "    print(sentence)\n",
    "    \n",
    "    entities = bem.extract_entities(sentence)\n",
    "\n",
    "    cm.match_context(sentence, entities)\n",
    "    \n",
    "    for entity in entities:\n",
    "        print(\"  {}\".format(entity))\n",
    "        \n",
    "    print(\"\")"
   ]
  }
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