{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "nlp-sample2.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "6DykMb5MX4XL"
      },
      "source": [
        "pip install -U ginza"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_JY_gJMZYA3O"
      },
      "source": [
        "# Google Colabで使うには、以下の2行が必要\n",
        "import pkg_resources, imp\n",
        "imp.reload(pkg_resources)\n",
        "\n",
        "import spacy\n",
        "nlp = spacy.load('ja_ginza')\n",
        "doc = nlp('今日は朝から晴れていてとても気持ちがいい。明日も晴れるだろうか。どうなのかな... なんだか心配だ。')\n",
        "for sent in doc.sents:\n",
        "    for token in sent:\n",
        "        print(token.i, token.orth_, token.lemma_, token.pos_, token.dep_, token.head.i)\n",
        "    print('EOS')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jwXLUWhbgD22"
      },
      "source": [
        "from spacy import displacy \n",
        "displacy.render(doc, style=\"ent\", jupyter=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D1sLgiAPgJ2m"
      },
      "source": [
        "displacy.render(doc, style='dep', jupyter=True, options={'distance': 100})"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}