TextRank.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# TextRank\n",
        "\n"
      ],
      "metadata": {
        "id": "7swUPO8MZMsc"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Библиотеки"
      ],
      "metadata": {
        "id": "zVUMtlKPZRTi"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
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        "outputId": "8592db1a-f493-42a9-b088-6102eaad7cb4"
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          "text": [
            "Collecting datasets\n",
            "  Downloading datasets-2.1.0-py3-none-any.whl (325 kB)\n",
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            "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.7/dist-packages (from datasets) (1.21.5)\n",
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            "  Downloading responses-0.18.0-py3-none-any.whl (38 kB)\n",
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            "  Downloading aiohttp-3.8.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.1 MB)\n",
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            "\u001b[K     |████████████████████████████████| 136 kB 57.9 MB/s \n",
            "\u001b[?25hCollecting xxhash\n",
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            "Installing collected packages: multidict, frozenlist, yarl, urllib3, asynctest, async-timeout, aiosignal, fsspec, aiohttp, xxhash, responses, huggingface-hub, datasets\n",
            "  Attempting uninstall: urllib3\n",
            "    Found existing installation: urllib3 1.24.3\n",
            "    Uninstalling urllib3-1.24.3:\n",
            "      Successfully uninstalled urllib3-1.24.3\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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            "Successfully installed aiohttp-3.8.1 aiosignal-1.2.0 async-timeout-4.0.2 asynctest-0.13.0 datasets-2.1.0 frozenlist-1.3.0 fsspec-2022.3.0 huggingface-hub-0.5.1 multidict-6.0.2 responses-0.18.0 urllib3-1.25.11 xxhash-3.0.0 yarl-1.7.2\n"
          ]
        }
      ],
      "source": [
        "!pip install datasets"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install transformers sentencepiece"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WorPczP9ZKWx",
        "outputId": "92499c52-bce3-4c9e-e900-9fc34c065bab"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "  Downloading tokenizers-0.12.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.6 MB)\n",
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            "Installing collected packages: pyyaml, tokenizers, sacremoses, transformers, sentencepiece\n",
            "  Attempting uninstall: pyyaml\n",
            "    Found existing installation: PyYAML 3.13\n",
            "    Uninstalling PyYAML-3.13:\n",
            "      Successfully uninstalled PyYAML-3.13\n",
            "Successfully installed pyyaml-6.0 sacremoses-0.0.49 sentencepiece-0.1.96 tokenizers-0.12.1 transformers-4.18.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Датасет"
      ],
      "metadata": {
        "id": "vry5aSJjZXiS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from datasets import load_dataset\n",
        "dataset = load_dataset('IlyaGusev/gazeta', revision=\"v1.0\")['test']\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 345,
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        },
        "id": "eCtoJXfBFiQI",
        "outputId": "53261233-6787-4a4e-ae70-181056e034cf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "version_major": 2,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "No config specified, defaulting to: gazeta_dataset/default\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading and preparing dataset gazeta_dataset/default (download: 545.11 MiB, generated: 542.44 MiB, post-processed: Unknown size, total: 1.06 GiB) to /root/.cache/huggingface/datasets/IlyaGusev___gazeta_dataset/default/1.0.0/ef9349c3c0f3112ca4036520d76c4bc1b8a79d30bc29643c6cae5a094d44e457...\n"
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          },
          "metadata": {}
        },
        {
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset gazeta_dataset downloaded and prepared to /root/.cache/huggingface/datasets/IlyaGusev___gazeta_dataset/default/1.0.0/ef9349c3c0f3112ca4036520d76c4bc1b8a79d30bc29643c6cae5a094d44e457. Subsequent calls will reuse this data.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/3 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d1a73af2523c40cab9d59b8a412803c8"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = dataset[1]['text']"
      ],
      "metadata": {
        "id": "dJiATPXIFoKn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Код"
      ],
      "metadata": {
        "id": "StGRyPopZgy5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import nltk\n",
        "nltk.download('punkt')\n",
        "from itertools import combinations\n",
        "from nltk.tokenize import sent_tokenize, RegexpTokenizer\n",
        "from nltk.stem.snowball import RussianStemmer\n",
        "import networkx as nx\n",
        "\n",
        "\n",
        "def similarity(s1, s2):\n",
        "    if not len(s1) or not len(s2):\n",
        "        return 0.0\n",
        "\n",
        "    # В качестве меры похожести возьмем отношение количества одинаковых слов в предложениях\n",
        "    # к суммарной длине предложений. Коэффициент Сёренсена.\n",
        "    return len(s1.intersection(s2))/(1.0 * (len(s1) + len(s2)))\n",
        "\n",
        "\n",
        "def textrank(text):\n",
        "    # Разбиваем текст на предложения с помощью токенизатора из nltk.\n",
        "    sentences = sent_tokenize(text)\n",
        "\n",
        "    # Поделим эти предложения на слова регуляркой, выбрасывая пробелы и знаки препинания.\n",
        "    tokenizer = RegexpTokenizer(r'\\w+')\n",
        "\n",
        "    # Все слова обработаем стеммером, который обрезает суффиксы и окончания, чтобы \n",
        "    # одно и то же слово в разных формах выглядело одинаково.\n",
        "    lmtzr = RussianStemmer()\n",
        "\n",
        "    # Выкинем повторяющиеся слова из предложений. После этого у нас есть список предложений, \n",
        "    # которые представлены в виде множества слов.\n",
        "    words = [set(lmtzr.stem(word) for word in tokenizer.tokenize(sentence.lower()))\n",
        "             for sentence in sentences]\n",
        "    \n",
        "    # Для каждой пары предложений вычислим их похожесть\n",
        "    pairs = combinations(range(len(sentences)), 2)\n",
        "    scores = [(i, j, similarity(words[i], words[j])) for i, j in pairs]\n",
        "\n",
        "    # Уберем пары, у которых нет ничего общего (похожесть равна нулю).\n",
        "    scores = filter(lambda x: x[2], scores)\n",
        "\t\n",
        "    # Создадим граф. Вершинами в нем являются предложения (если точнее, то номера предложений в тексте), \n",
        "    # а ребра между ними имеют вес, равный похожести вершин, которым оно инцидентно.\n",
        "    g = nx.Graph()\n",
        "    g.add_weighted_edges_from(scores)\n",
        "\n",
        "    # Посчитаем пейджранки в этом графе.\n",
        "    pr = nx.pagerank(g)\n",
        "\t\n",
        "    # Результатом будет список предложений, отсортированный по их пейджранку.\n",
        "    return sorted(((i, pr[i], s) for i, s in enumerate(sentences) if i in pr), key=lambda x: pr[x[0]], reverse=True)\n",
        "\n",
        "\n",
        "# Вывод топ-N предложений\n",
        "def extract(text, n=5):\n",
        "    tr = textrank(text)\n",
        "    top_n = sorted(tr[:n])\n",
        "    return ' '.join(x[2] for x in top_n)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DDhqVALJ651Y",
        "outputId": "b961d6b4-0ab1-4f75-d8d5-7086251ff04a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Вывод"
      ],
      "metadata": {
        "id": "elHfL7PeZlrn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "display(text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        },
        "id": "g4Obs64eFQ-h",
        "outputId": "c8789a72-7415-40b6-c2d2-12be0dd6cceb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "'Около 11 тысяч зрителей увидели все самое лучшее, что есть на сегодняшний день в культуре Бурятии. В Кремле выступил Бурятский государственный академический театр оперы и балета, Национальный цирк, Бурятский национальный театр песни и танца «Байкал», ставший победителем шоу «Танцуют все!» на телеканале «Россия», а также другие профессиональные и самодеятельные коллективы региона. Более 300 артистов из одного региона на главной сцене страны - похоже это рекорд России. Зрителям рассказали, что Республике Бурятия, чье население составляет 1 миллион человек, сохранилась и развивается культура десятков национальностей, включая русских, бурятов, староверов (семейских), эвенков. И все они были представлены в Москве. Как писали после шоу зрители в соцсетях: «А мы думали, что в Бурятии только буряты живут…». Для неподготовленного зрителя это вообще были вечера открытий. Например, когда еще в Кремлевском дворце выстраивалась очередь из желающих попасть на прием к врачам-пульсологам и ламам-астрологам? А между тем буквально в паре метров можно было увидеть выставку Национального музея Бурятии о культуре и быте бурятского народа. И она не менее уникальна, чем китайская, или монгольская времен Чингисхана. И там же современное искусство, например, знаменитые работы скульптора Даши Намдакова. Не обошлось без политической составляющей. Перед началом праздничного шоу с главной сцены страны первый заместитель руководителя администрации президента России Сергей Кириенко зачитал поздравление президента Российской Федерации Владимира Путина , в котором говорилось: «Сердечно поздравляю вас с наступлением Нового года по лунному календарю и с наступлением Белого месяца! Этот светлый, особо почитаемый последователями буддизма праздник символизирует обновление природы, стремление человека к гармонии и чистоте помыслов. Он обращает верующих к духовным и нравственным истокам этой древней религии, ее непреходящим устоям и ценностям. Важно, что российские буддисты бережно хранят и передают из поколения в поколение традиции предков…». Заместитель председателя правительства России , полномочный представитель президента РФ в ДФО Юрий Трутнев , видимо, также был удивлен ажиотажем и аншлагом в Кремле и рассказал журналистам: «Я спросил у [главы Бурятии] Алексея Цыденова, сколько людей приехало из Бурятии на праздник, и он ответил: «Тысяча из шести». Это значит, что большая часть людей на празднике — из Москвы, значит, им это интересно!». Сам же Цыденов в своем выступлении посетовал на то, что в России все же мало что знают о Бурятии и ее традициях, но был оптимистичен: «Республика Бурятия богата своей историей, своими традициями. Наша цель — показать все возможности и огромный потенциал республики, чтобы не только жители Бурятии, но и вся Россия гордилась достижениями нашего народа. Мы хотим, чтобы жители всей России знали, что есть такая жемчужина — Бурятия». Небольшим, отдаленным и дотационным регионам всегда непросто быть замеченными властями. А их губернаторам и главам сложно быть ближе к высшему руководству страны по сравнению с их коллегами из более богатых субъектов. Но, похоже, главе Бурятии Алексею Цыденову удается переломить эту не самую приятную для многих регионов традицию. Цыденов пришел в Бурятию с поста замминистра транспорта России без опыта управления регионом. Но за три года сумел стать опытным региональным политиком, способным на неожиданные ходы. Как пример, нынешние посвященные Восточному новому году концерты в Москве. Пока другие регионы со своими местными праздниками и юбилеями стоят в очереди, чтобы «затащить» к себе руководителей страны на торжества, Цыденов, наоборот, сумел привезти свой регион в Москву. Причем не куда-нибудь, а в самый Кремль. Таким образом, всего за два столичных дня Бурятия решила сразу несколько задач, в том числе подтвердила свой статус буддийского лидера России и познакомила жителей всей страны со своей богатой культурой. Зрители после концерта отвечали Бурятии взаимностью. Можно обратить внимание лишь на некоторые высказанные в соцсетях мнения об увиденном в кремлевском дворце: «Люди в Бурятии очень талантливые», «Вот это красота! Срочно летим в Бурятию», «Буряты, вы крутые!», «Бурятия, мы вам завидуем!».'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "display(extract(text, 5))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "gewtPknxFRbX",
        "outputId": "57ba06db-3a0f-497e-a366-b8f6b2f6d1e5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "'Около 11 тысяч зрителей увидели все самое лучшее, что есть на сегодняшний день в культуре Бурятии. И все они были представлены в Москве. Как писали после шоу зрители в соцсетях: «А мы думали, что в Бурятии только буряты живут…». А между тем буквально в паре метров можно было увидеть выставку Национального музея Бурятии о культуре и быте бурятского народа. Сам же Цыденов в своем выступлении посетовал на то, что в России все же мало что знают о Бурятии и ее традициях, но был оптимистичен: «Республика Бурятия богата своей историей, своими традициями.'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {}
        }
      ]
    }
  ]
}