Indonesian_detik_news.ipynb

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      "name": "Indonesian-detik-news.ipynb",
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      "name": "python3",
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      "name": "python"
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  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "elpMc8xGMSoi"
      },
      "source": [
        "# News Title NLP Classification\n",
        "\n",
        "---\n",
        "\n",
        "[dataset](https://www.kaggle.com/ibamibrahim/indonesian-news-title)\n",
        "\n",
        "<small> *note: the output was run on CPU mode*"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 203
        },
        "id": "WakTASNbLPfb",
        "outputId": "2ab6a752-426c-4d2d-aa32-19ff50879c1c"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "np.random.seed(233)\n",
        "\n",
        "train = pd.read_csv('indonesian-news-title.csv')\n",
        "train.head()"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<div>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>url</th>\n",
              "      <th>title</th>\n",
              "      <th>category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>02/26/2020</td>\n",
              "      <td>https://finance.detik.com/berita-ekonomi-bisni...</td>\n",
              "      <td>Kemnaker Awasi TKA di Meikarta</td>\n",
              "      <td>finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>02/26/2020</td>\n",
              "      <td>https://finance.detik.com/berita-ekonomi-bisni...</td>\n",
              "      <td>BNI Digitalkan BNI Java Jazz 2020</td>\n",
              "      <td>finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>02/26/2020</td>\n",
              "      <td>https://finance.detik.com/berita-ekonomi-bisni...</td>\n",
              "      <td>Terbang ke Australia, Edhy Prabowo Mau Genjot ...</td>\n",
              "      <td>finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>02/26/2020</td>\n",
              "      <td>https://finance.detik.com/moneter/d-4916133/oj...</td>\n",
              "      <td>OJK Siapkan Stimulus Ekonomi Antisipasi Dampak...</td>\n",
              "      <td>finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>02/26/2020</td>\n",
              "      <td>https://finance.detik.com/berita-ekonomi-bisni...</td>\n",
              "      <td>Saran Buat Anies-RK yang Mangkir Rapat Banjir ...</td>\n",
              "      <td>finance</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         date  ... category\n",
              "0  02/26/2020  ...  finance\n",
              "1  02/26/2020  ...  finance\n",
              "2  02/26/2020  ...  finance\n",
              "3  02/26/2020  ...  finance\n",
              "4  02/26/2020  ...  finance\n",
              "\n",
              "[5 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q68fJSJWUF_Q",
        "outputId": "425cb205-8c73-4c05-8dce-8c6ee17452bf"
      },
      "source": [
        "train.info()"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 91017 entries, 0 to 91016\n",
            "Data columns (total 4 columns):\n",
            " #   Column    Non-Null Count  Dtype \n",
            "---  ------    --------------  ----- \n",
            " 0   date      91017 non-null  object\n",
            " 1   url       91017 non-null  object\n",
            " 2   title     91017 non-null  object\n",
            " 3   category  91017 non-null  object\n",
            "dtypes: object(4)\n",
            "memory usage: 2.8+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VP2UZGRhRo-9",
        "outputId": "a46c1030-d03e-4f36-b853-90e47a6917d5"
      },
      "source": [
        "train.shape, sorted(pd.to_datetime(train.date))[0], sorted(pd.to_datetime(train.date))[-1]"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((91017, 4),\n",
              " Timestamp('2020-01-01 00:00:00'),\n",
              " Timestamp('2020-06-13 00:00:00'))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5Xue9vEZTU69",
        "outputId": "ac87dcbf-8fc6-431f-cd57-623bb040d166"
      },
      "source": [
        "train.title.isna().sum()"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KAiVxJbmRuNw"
      },
      "source": [
        "## Check Duplicated data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 417
        },
        "id": "FL9wLFWMO8nU",
        "outputId": "bb1bf97b-0ecd-47ff-9dac-9ec4f38e061a"
      },
      "source": [
        "data[data.title.duplicated()]"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>url</th>\n",
              "      <th>title</th>\n",
              "      <th>category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1906</th>\n",
              "      <td>04/17/2020</td>\n",
              "      <td>https://finance.detik.com/detiktv/d-4980330/bl...</td>\n",
              "      <td>Blak-blakan Kartu Pra Kerja dan 'Nepotisme' de...</td>\n",
              "      <td>finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3299</th>\n",
              "      <td>04/20/2020</td>\n",
              "      <td>https://finance.detik.com/detiktv/d-4983283/me...</td>\n",
              "      <td>Menteri Perdagangan Buka Kartu Stok Sembako Sa...</td>\n",
              "      <td>finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3732</th>\n",
              "      <td>03/09/2020</td>\n",
              "      <td>https://finance.detik.com/market-research/d-49...</td>\n",
              "      <td>IHSG Diperkirakan Melemah di Awal Pekan</td>\n",
              "      <td>finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5613</th>\n",
              "      <td>03/11/2020</td>\n",
              "      <td>https://finance.detik.com/berita-ekonomi-bisni...</td>\n",
              "      <td>Harga Emas Antam Turun Rp 3.000</td>\n",
              "      <td>finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5779</th>\n",
              "      <td>01/22/2020</td>\n",
              "      <td>https://finance.detik.com/fintech/d-4868943/lo...</td>\n",
              "      <td>Lokasi Kantor Jadi Syarat Pinjol Dapat Izin OJK</td>\n",
              "      <td>finance</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89764</th>\n",
              "      <td>01/18/2020</td>\n",
              "      <td>https://travel.detik.com/fototravel/d-4864101/...</td>\n",
              "      <td>Aksi Para Penunggang Kuda Menerobos Kobaran Ap...</td>\n",
              "      <td>travel</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89932</th>\n",
              "      <td>04/03/2020</td>\n",
              "      <td>https://travel.detik.com/travel-news/d-4963492...</td>\n",
              "      <td>Rasakan Kenyamanan Work From Hotel di Fraser R...</td>\n",
              "      <td>travel</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90206</th>\n",
              "      <td>06/03/2020</td>\n",
              "      <td>https://travel.detik.com/travel-news/d-5039514...</td>\n",
              "      <td>New Normal, VW Cabrio Borobudur Siap Sambut Wi...</td>\n",
              "      <td>travel</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90444</th>\n",
              "      <td>04/14/2020</td>\n",
              "      <td>https://travel.detik.com/fototravel/d-4977157/...</td>\n",
              "      <td>5 Negara yang Diprediksi Paling Cepat Bangkit ...</td>\n",
              "      <td>travel</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90922</th>\n",
              "      <td>04/29/2020</td>\n",
              "      <td>https://travel.detik.com/galeri-foto/d-4995695...</td>\n",
              "      <td>Keindahan Musim Semi yang Dirundung Corona</td>\n",
              "      <td>travel</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>126 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             date  ... category\n",
              "1906   04/17/2020  ...  finance\n",
              "3299   04/20/2020  ...  finance\n",
              "3732   03/09/2020  ...  finance\n",
              "5613   03/11/2020  ...  finance\n",
              "5779   01/22/2020  ...  finance\n",
              "...           ...  ...      ...\n",
              "89764  01/18/2020  ...   travel\n",
              "89932  04/03/2020  ...   travel\n",
              "90206  06/03/2020  ...   travel\n",
              "90444  04/14/2020  ...   travel\n",
              "90922  04/29/2020  ...   travel\n",
              "\n",
              "[126 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "HMSeVW11PVuq",
        "outputId": "add5bb94-3472-4fde-f56a-5928f9da4a29"
      },
      "source": [
        "data[data.title==\"Film yang Rilis Pekan Ini\"]"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>url</th>\n",
              "      <th>title</th>\n",
              "      <th>category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>26059</th>\n",
              "      <td>02/07/2020</td>\n",
              "      <td>https://hot.detik.com/movie/d-4890598/film-yan...</td>\n",
              "      <td>Film yang Rilis Pekan Ini</td>\n",
              "      <td>hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27143</th>\n",
              "      <td>02/14/2020</td>\n",
              "      <td>https://hot.detik.com/movie/d-4899398/film-yan...</td>\n",
              "      <td>Film yang Rilis Pekan Ini</td>\n",
              "      <td>hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30988</th>\n",
              "      <td>02/28/2020</td>\n",
              "      <td>https://hot.detik.com/movie/d-4918721/film-yan...</td>\n",
              "      <td>Film yang Rilis Pekan Ini</td>\n",
              "      <td>hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34089</th>\n",
              "      <td>01/31/2020</td>\n",
              "      <td>https://hot.detik.com/movie/d-4881009/film-yan...</td>\n",
              "      <td>Film yang Rilis Pekan Ini</td>\n",
              "      <td>hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36372</th>\n",
              "      <td>02/21/2020</td>\n",
              "      <td>https://hot.detik.com/movie/d-4908920/film-yan...</td>\n",
              "      <td>Film yang Rilis Pekan Ini</td>\n",
              "      <td>hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36493</th>\n",
              "      <td>01/24/2020</td>\n",
              "      <td>https://hot.detik.com/movie/d-4872013/film-yan...</td>\n",
              "      <td>Film yang Rilis Pekan Ini</td>\n",
              "      <td>hot</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37109</th>\n",
              "      <td>01/10/2020</td>\n",
              "      <td>https://hot.detik.com/movie/d-4854221/film-yan...</td>\n",
              "      <td>Film yang Rilis Pekan Ini</td>\n",
              "      <td>hot</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             date  ... category\n",
              "26059  02/07/2020  ...      hot\n",
              "27143  02/14/2020  ...      hot\n",
              "30988  02/28/2020  ...      hot\n",
              "34089  01/31/2020  ...      hot\n",
              "36372  02/21/2020  ...      hot\n",
              "36493  01/24/2020  ...      hot\n",
              "37109  01/10/2020  ...      hot\n",
              "\n",
              "[7 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 110
        },
        "id": "5slQSX8hPNJS",
        "outputId": "706c1bb7-56b8-4c26-ccf9-1e41d503491e"
      },
      "source": [
        "data[data.title==\"Kemenkes: 4 Orang 'Kelompok Dansa' Diduga Kuat Suspect Positif Corona\"]\n",
        "# based on this cell just drop all the duplicated rows (different categories)"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>date</th>\n",
              "      <th>url</th>\n",
              "      <th>title</th>\n",
              "      <th>category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>18758</th>\n",
              "      <td>03/06/2020</td>\n",
              "      <td>https://health.detik.com/berita-detikhealth/d-...</td>\n",
              "      <td>Kemenkes: 4 Orang 'Kelompok Dansa' Diduga Kuat...</td>\n",
              "      <td>health</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>55206</th>\n",
              "      <td>03/06/2020</td>\n",
              "      <td>https://news.detik.com/berita/d-4927997/kemenk...</td>\n",
              "      <td>Kemenkes: 4 Orang 'Kelompok Dansa' Diduga Kuat...</td>\n",
              "      <td>news</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             date  ... category\n",
              "18758  03/06/2020  ...   health\n",
              "55206  03/06/2020  ...     news\n",
              "\n",
              "[2 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mkLE7gZbTiQd"
      },
      "source": [
        "train = train.drop_duplicates(subset=['title'], keep=False).reset_index(drop=True)\n",
        "train = train.loc[:, ['title','category']]"
      ],
      "execution_count": 62,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RI_SoUvHS-g4"
      },
      "source": [
        "## Check 'category' distribution"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "62QWB-xWYrpE"
      },
      "source": [
        "... imbalanced dataset (handle using the class weight or oversampling)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XsHy2TZLOv2F",
        "outputId": "167b51d1-d940-42d6-dbe3-355fcea11fce"
      },
      "source": [
        "train.category.value_counts()"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "news       32318\n",
              "hot        16280\n",
              "finance    14107\n",
              "travel      6448\n",
              "inet        5621\n",
              "health      4893\n",
              "oto         4370\n",
              "food        4313\n",
              "sport       2432\n",
              "Name: category, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 326
        },
        "id": "yx-HFN1sUpYs",
        "outputId": "954e1a17-abb7-4d91-bab6-8ac32e2c40cd"
      },
      "source": [
        "cat_nm = train.category.value_counts().index\n",
        "cat_val = train.category.value_counts().values\n",
        "\n",
        "pd.DataFrame({\n",
        "    'category': cat_nm,\n",
        "    'count': cat_val,\n",
        "    'percent': cat_val / cat_val.sum(),\n",
        "    'ratio': train.category.value_counts()[0] / cat_val}) #32318"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>category</th>\n",
              "      <th>count</th>\n",
              "      <th>percent</th>\n",
              "      <th>ratio</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>news</td>\n",
              "      <td>32318</td>\n",
              "      <td>0.355996</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>hot</td>\n",
              "      <td>16280</td>\n",
              "      <td>0.179331</td>\n",
              "      <td>1.985135</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>finance</td>\n",
              "      <td>14107</td>\n",
              "      <td>0.155394</td>\n",
              "      <td>2.290919</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>travel</td>\n",
              "      <td>6448</td>\n",
              "      <td>0.071027</td>\n",
              "      <td>5.012097</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>inet</td>\n",
              "      <td>5621</td>\n",
              "      <td>0.061918</td>\n",
              "      <td>5.749511</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>health</td>\n",
              "      <td>4893</td>\n",
              "      <td>0.053898</td>\n",
              "      <td>6.604946</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>oto</td>\n",
              "      <td>4370</td>\n",
              "      <td>0.048137</td>\n",
              "      <td>7.395423</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>food</td>\n",
              "      <td>4313</td>\n",
              "      <td>0.047509</td>\n",
              "      <td>7.493160</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>sport</td>\n",
              "      <td>2432</td>\n",
              "      <td>0.026789</td>\n",
              "      <td>13.288651</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  category  count   percent      ratio\n",
              "0     news  32318  0.355996   1.000000\n",
              "1      hot  16280  0.179331   1.985135\n",
              "2  finance  14107  0.155394   2.290919\n",
              "3   travel   6448  0.071027   5.012097\n",
              "4     inet   5621  0.061918   5.749511\n",
              "5   health   4893  0.053898   6.604946\n",
              "6      oto   4370  0.048137   7.395423\n",
              "7     food   4313  0.047509   7.493160\n",
              "8    sport   2432  0.026789  13.288651"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "C5zK74dWVMRq"
      },
      "source": [
        "## Most word sample"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 411
        },
        "id": "kRgFpvuCQ3Jg",
        "outputId": "0a29d98e-c61c-471c-83ed-76f8e5db9c36"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# buruk (v4)\n",
        "from wordcloud import WordCloud\n",
        "\n",
        "plt.style.use('seaborn-white')\n",
        "plt.figure(figsize = (12,7))\n",
        "wc = WordCloud(max_words = 200, width = 950, height = 800).generate(' '.join(train[train.category == 'news'].title))\n",
        "plt.xticks([])\n",
        "plt.yticks([])\n",
        "plt.imshow(wc , interpolation = 'bilinear');"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pmtoMkWdVWqK"
      },
      "source": [
        "## Check for text length"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 442
        },
        "id": "M98VoLieVYbj",
        "outputId": "6e6cbf8b-ab8e-4c7e-8f50-8717df7f2f76"
      },
      "source": [
        "# max_len = 10 to 12 (make all sentences have the same lengths) - for padding\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "plt.figure(figsize=(13,7))\n",
        "seq_len = [len(i.split()) for i in train['title']]\n",
        "\n",
        "qty_central_tdncy = 3150\n",
        "q1, mean, median, q3 = np.quantile(seq_len, q=.25), np.mean(seq_len), np.median(seq_len), np.quantile(seq_len, q=.75)\n",
        "\n",
        "pd.Series(seq_len).hist(bins = 30, label='')\n",
        "pd.Series([q1] * qty_central_tdncy).hist(label='q1')\n",
        "pd.Series([median] * qty_central_tdncy).hist(label='median')\n",
        "pd.Series([mean] * qty_central_tdncy).hist(label='mean')\n",
        "pd.Series([q3] * qty_central_tdncy).hist(label='q3')\n",
        "plt.xticks([0,5,10,15,20]);\n",
        "plt.legend();\n",
        "plt.annotate(round(q1,2), (int(q1)-1, qty_central_tdncy + 15));\n",
        "plt.annotate(round(median,2), (int(median)-1, qty_central_tdncy + 15));\n",
        "plt.annotate(round(mean,2), (int(mean)-1, qty_central_tdncy + 15));\n",
        "plt.annotate(round(q3,2), (int(q3)-1, qty_central_tdncy + 15));\n",
        "\n",
        "print(f'q1 len:{q1}, mean len:{mean}, median len:{median}, q3 len:{q3}')"
      ],
      "execution_count": 180,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "q1 len:8.0, mean len:9.278887885263599, median len:9.0, q3 len:11.0\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 936x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O3CVtys_mwFG",
        "outputId": "cd945c4f-7c6f-480e-c786-822cc9541429"
      },
      "source": [
        "def abbrev_filter(text):\n",
        "    words_abbrev = [i for i in text.split()]\n",
        "    leng_abbrev = [i for i in words_abbrev if len(i)<5]\n",
        "    return leng_abbrev\n",
        "\n",
        "full_abbrev = []\n",
        "abb_tr = train.title.apply(abbrev_filter)\n",
        "for i in list(abb_tr):\n",
        "    for a in range(len(i)):\n",
        "        full_abbrev.append(i[a])\n",
        "\n",
        "print(len(set(full_abbrev)), len(full_abbrev))\n",
        "# set(full_abbrev)"
      ],
      "execution_count": 117,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "7920 264343\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rpTom05t0XB1",
        "outputId": "fbf825d2-1725-410a-c0c6-40694cf8ebdc"
      },
      "source": [
        "# def abbrev_filter2(text):\n",
        "#     words_abbrev = [i for i in text.split()]\n",
        "#     leng_abbrev = [i for i in words_abbrev if len(i)<5]\n",
        "#     return leng_abbrev\n",
        "\n",
        "# full_abbrev2 = []\n",
        "# abb_tr2 = train.title_clean.apply(abbrev_filter2)\n",
        "# for i in list(abb_tr2):\n",
        "#     for a in range(len(i)):\n",
        "#         full_abbrev2.append(i[a])\n",
        "\n",
        "# print(len(set(full_abbrev2)), len(full_abbrev2))\n",
        "# # set(full_abbrev)"
      ],
      "execution_count": 171,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "5668 126565\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OMCVa7RXXOQ-"
      },
      "source": [
        "# Cleaning Dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YVx5UaJ7XPpr",
        "outputId": "86d859c7-39ae-46bd-c7ba-c158cb1a4d14"
      },
      "source": [
        "!pip install Sastrawi"
      ],
      "execution_count": 129,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting Sastrawi\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/6f/4b/bab676953da3103003730b8fcdfadbdd20f333d4add10af949dd5c51e6ed/Sastrawi-1.0.1-py2.py3-none-any.whl (209kB)\n",
            "\r\u001b[K     |█▋                              | 10kB 19.3MB/s eta 0:00:01\r\u001b[K     |███▏                            | 20kB 18.8MB/s eta 0:00:01\r\u001b[K     |████▊                           | 30kB 14.7MB/s eta 0:00:01\r\u001b[K     |██████▎                         | 40kB 13.2MB/s eta 0:00:01\r\u001b[K     |███████▉                        | 51kB 8.9MB/s eta 0:00:01\r\u001b[K     |█████████▍                      | 61kB 10.3MB/s eta 0:00:01\r\u001b[K     |███████████                     | 71kB 9.5MB/s eta 0:00:01\r\u001b[K     |████████████▌                   | 81kB 10.4MB/s eta 0:00:01\r\u001b[K     |██████████████                  | 92kB 9.2MB/s eta 0:00:01\r\u001b[K     |███████████████▋                | 102kB 8.4MB/s eta 0:00:01\r\u001b[K     |█████████████████▏              | 112kB 8.4MB/s eta 0:00:01\r\u001b[K     |██████████████████▊             | 122kB 8.4MB/s eta 0:00:01\r\u001b[K     |████████████████████▎           | 133kB 8.4MB/s eta 0:00:01\r\u001b[K     |█████████████████████▉          | 143kB 8.4MB/s eta 0:00:01\r\u001b[K     |███████████████████████▍        | 153kB 8.4MB/s eta 0:00:01\r\u001b[K     |█████████████████████████       | 163kB 8.4MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▋     | 174kB 8.4MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▏   | 184kB 8.4MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▊  | 194kB 8.4MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▎| 204kB 8.4MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 215kB 8.4MB/s \n",
            "\u001b[?25hInstalling collected packages: Sastrawi\n",
            "Successfully installed Sastrawi-1.0.1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2BWJ8r2Dp3Bg",
        "outputId": "8f88b64b-18a0-4f14-ef65-65e60b6edcd0"
      },
      "source": [
        "import re\n",
        "import nltk\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.stem import PorterStemmer\n",
        "# from nltk.tokenize import word_tokenize\n",
        "from multiprocessing.dummy import Pool as ThreadPool  \n",
        "from Sastrawi.StopWordRemover.StopWordRemoverFactory import StopWordRemoverFactory\n",
        "from Sastrawi.Stemmer.StemmerFactory import StemmerFactory\n",
        "nltk.download('stopwords')\n",
        "nltk.download('punkt')\n",
        "\n",
        "# Removing the stopwords from text\n",
        "def remove_stopwords(text):\n",
        "  final_text = []\n",
        "  factory_stop = StopWordRemoverFactory()\n",
        "  stop_sastrawi = factory_stop.get_stop_words()\n",
        "  stop_corpus_in = stopwords.words('indonesian')\n",
        "  stop_corpus_en = stopwords.words('english')\n",
        "  #     more_stopword = ['dengan', 'ia', 'bahwa','oleh', 'yg', 'dlm']\n",
        "  # more_stopword = ['dengan', 'ia', 'bahwa','oleh', 'yg', 'dlm', 'deh', \n",
        "  #                  'sih', 'lg', 'krn', 'tlg', 'jk', 'sdh', 'tp', 'dpt',\n",
        "  #                  'gt', '&', 'nya', 'duh', 'dih', 'kok', 'nah', 'an',\n",
        "  #                 'donk', 'dung', 'dong', 'duns']\n",
        "\n",
        "  stop = stop_sastrawi + stop_corpus_in + stop_corpus_en\n",
        "  stop = set(stop)\n",
        "\n",
        "  for i in text.split():\n",
        "    if i.strip().lower() not in stop:\n",
        "      final_text.append(i.strip())\n",
        "  return ' '.join(final_text)\n",
        "\n",
        "# Removing all the noisy text\n",
        "def denoise_text(text):\n",
        "    '''full process'''\n",
        "    text = remove_stopwords(text) #can't use with threadpool\n",
        "    text = re.sub('\\d', '', text).lower()\n",
        "    text = ' '.join([i.strip() for i in text.split()])\n",
        "    return text"
      ],
      "execution_count": 132,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n",
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 203
        },
        "id": "iTNWNbkDqsqq",
        "outputId": "3ef8964b-8b4a-4aca-a225-0c42b0941b57"
      },
      "source": [
        "train['title_clean'] = train.title.apply(denoise_text)\n",
        "train.head()"
      ],
      "execution_count": 134,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>title</th>\n",
              "      <th>category</th>\n",
              "      <th>title_clean</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Kemnaker Awasi TKA di Meikarta</td>\n",
              "      <td>finance</td>\n",
              "      <td>kemnaker awasi tka meikarta</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>BNI Digitalkan BNI Java Jazz 2020</td>\n",
              "      <td>finance</td>\n",
              "      <td>bni digitalkan bni java jazz</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Terbang ke Australia, Edhy Prabowo Mau Genjot ...</td>\n",
              "      <td>finance</td>\n",
              "      <td>terbang australia, edhy prabowo genjot budi da...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>OJK Siapkan Stimulus Ekonomi Antisipasi Dampak...</td>\n",
              "      <td>finance</td>\n",
              "      <td>ojk siapkan stimulus ekonomi antisipasi dampak...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Saran Buat Anies-RK yang Mangkir Rapat Banjir ...</td>\n",
              "      <td>finance</td>\n",
              "      <td>saran anies-rk mangkir rapat banjir dpr</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               title  ...                                        title_clean\n",
              "0                     Kemnaker Awasi TKA di Meikarta  ...                        kemnaker awasi tka meikarta\n",
              "1                  BNI Digitalkan BNI Java Jazz 2020  ...                       bni digitalkan bni java jazz\n",
              "2  Terbang ke Australia, Edhy Prabowo Mau Genjot ...  ...  terbang australia, edhy prabowo genjot budi da...\n",
              "3  OJK Siapkan Stimulus Ekonomi Antisipasi Dampak...  ...  ojk siapkan stimulus ekonomi antisipasi dampak...\n",
              "4  Saran Buat Anies-RK yang Mangkir Rapat Banjir ...  ...            saran anies-rk mangkir rapat banjir dpr\n",
              "\n",
              "[5 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 134
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AcMbYvAVrO4J"
      },
      "source": [
        "# Data Preparation"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HVLPt8wbYpwp",
        "outputId": "5427f511-d5d5-4eaf-b8a7-4f85ce0e3a27"
      },
      "source": [
        "# # for class weight 'ON'\n",
        "# from sklearn.model_selection import train_test_split\n",
        "\n",
        "# title_text = train.title_clean.values\n",
        "# cat_text = train.category.values\n",
        "\n",
        "# train_x, valid_x, train_y, valid_y = train_test_split(title_text, cat_text, stratify=cat_text, test_size=.2)\n",
        "\n",
        "# train_x.shape, valid_x.shape, train_y.shape, valid_y.shape"
      ],
      "execution_count": 135,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((72625,), (18157,), (72625,), (18157,))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 135
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I20q1SqQxIVI",
        "outputId": "c6e53317-eeb5-444a-8336-ca087f9e7ff8"
      },
      "source": [
        "# split first before oversampling to prevent data overfit!\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "train_data, valid_data = train_test_split(train, stratify=train['category'], test_size=.2)\n",
        "\n",
        "train_data.shape, valid_data.shape"
      ],
      "execution_count": 156,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((72625, 3), (18157, 3))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 156
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7qHfVmm5wz0O"
      },
      "source": [
        "# oversampling (set class_weight to None)\n",
        "nws = train[train.category == 'news']\n",
        "hot = train[train.category == 'hot']\n",
        "fnc = train[train.category == 'finance']\n",
        "trv = train[train.category == 'travel']\n",
        "net = train[train.category == 'inet']\n",
        "hlt = train[train.category == 'health']\n",
        "oto = train[train.category == 'oto']\n",
        "fdd = train[train.category == 'food']\n",
        "spr = train[train.category == 'sport']\n",
        "\n",
        "hot_ov = pd.concat([hot, hot])\n",
        "fnc_ov = pd.concat([fnc, fnc])\n",
        "trv_ov = pd.concat([trv, trv, trv, trv, trv])\n",
        "net_ov = pd.concat([net, net, net, net, net])\n",
        "hlt_ov = pd.concat([hlt, hlt, hlt, hlt, hlt, hlt])\n",
        "oto_ov = pd.concat([oto, oto, oto, oto, oto, oto, oto])\n",
        "fdd_ov = pd.concat([fdd, fdd, fdd, fdd, fdd, fdd, fdd])\n",
        "spr_ov = pd.concat([spr, spr, spr, spr, spr, spr, spr, spr, spr, spr, spr, spr, spr])\n",
        "\n",
        "x_over = pd.concat([nws, hot_ov, fnc_ov, trv_ov, net_ov, hlt_ov, oto_ov, fdd_ov, spr_ov])\n",
        "tr_over = x_over.sample(frac=1).reset_index(drop=True)"
      ],
      "execution_count": 159,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cqi0ioo5zsS7",
        "outputId": "cc168a14-4824-4074-eae3-81e6e88748c4"
      },
      "source": [
        "train_x = tr_over.title_clean.values\n",
        "train_y = tr_over.category.values\n",
        "valid_x = valid_data.title_clean.values\n",
        "valid_y = valid_data.category.values\n",
        "\n",
        "train_x.shape, valid_x.shape, train_y.shape, valid_y.shape"
      ],
      "execution_count": 165,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((275192,), (18157,), (275192,), (18157,))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 165
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DRUoEJG8Z5-S",
        "outputId": "41eded8c-9303-4ff3-d029-384873493911"
      },
      "source": [
        "from collections import Counter\n",
        "\n",
        "print(Counter(train_y))\n",
        "print(Counter(valid_y))"
      ],
      "execution_count": 166,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Counter({'hot': 32560, 'news': 32318, 'travel': 32240, 'sport': 31616, 'oto': 30590, 'food': 30191, 'health': 29358, 'finance': 28214, 'inet': 28105})\n",
            "Counter({'news': 6464, 'hot': 3256, 'finance': 2821, 'travel': 1290, 'inet': 1124, 'health': 979, 'oto': 874, 'food': 863, 'sport': 486})\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UfqJ44H1sgab",
        "outputId": "13816ed2-ca2a-4976-80ff-60374f2fce31"
      },
      "source": [
        "print(Counter(y_tr))"
      ],
      "execution_count": 167,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Counter({5: 25854, 3: 13024, 0: 11286, 8: 5158, 4: 4497, 2: 3914, 6: 3496, 1: 3450, 7: 1946})\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aBN9-ToLoANY"
      },
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "\n",
        "le = LabelEncoder()\n",
        "\n",
        "y_tr = le.fit_transform(train_y)\n",
        "y_val = le.transform(valid_y)"
      ],
      "execution_count": 168,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yXNtnzlWavGZ"
      },
      "source": [
        "from tensorflow.keras.preprocessing.text import Tokenizer\n",
        "from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
        "\n",
        "VAL_PDTR = 'post'\n",
        "\n",
        "tokenizer = Tokenizer(num_words=5500, oov_token='<OOV>')\n",
        "tokenizer.fit_on_texts(train_x) \n",
        " \n",
        "sekuens_train = tokenizer.texts_to_sequences(train_x)\n",
        "sekuens_valid = tokenizer.texts_to_sequences(valid_x)\n",
        " \n",
        "padded_train = pad_sequences(sekuens_train, truncating=VAL_PDTR, padding=VAL_PDTR, maxlen=12) \n",
        "padded_valid = pad_sequences(sekuens_valid, truncating=VAL_PDTR, padding=VAL_PDTR, maxlen=12)"
      ],
      "execution_count": 172,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xt0qkOrvpfB8"
      },
      "source": [
        "# Modelling"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EuoPha4jjd0D",
        "outputId": "d1e1abe5-e0f7-4b4b-cebd-7f119064b044"
      },
      "source": [
        "!pip install tensorflow-addons"
      ],
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting tensorflow-addons\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/66/4b/e893d194e626c24b3df2253066aa418f46a432fdb68250cde14bf9bb0700/tensorflow_addons-0.13.0-cp37-cp37m-manylinux2010_x86_64.whl (679kB)\n",
            "\u001b[K     |████████████████████████████████| 686kB 6.9MB/s \n",
            "\u001b[?25hRequirement already satisfied: typeguard>=2.7 in /usr/local/lib/python3.7/dist-packages (from tensorflow-addons) (2.7.1)\n",
            "Installing collected packages: tensorflow-addons\n",
            "Successfully installed tensorflow-addons-0.13.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3vZnLLQzc24g"
      },
      "source": [
        "import time\n",
        "import datetime\n",
        "import tensorflow as tf\n",
        "from tensorflow_addons.optimizers import AdamW\n",
        "tf.random.set_seed(233)\n",
        "\n",
        "SCHEDULE = tf.optimizers.schedules.PiecewiseConstantDecay([1407*20, 1407*30], [1e-3, 1e-4, 1e-5])\n",
        "step = tf.Variable(0, trainable=False)\n",
        "schedule = tf.optimizers.schedules.PiecewiseConstantDecay([10000, 15000], [1e-0, 1e-1, 1e-2])\n",
        "LR = 1e-1 * schedule(step)\n",
        "WD = lambda: 1e-4 * SCHEDULE(step)\n",
        "OPTIMIZER = AdamW(learning_rate=SCHEDULE, weight_decay=WD)\n",
        "\n",
        "# imbalanced\n",
        "CLW = {\n",
        "    5: 1, \n",
        "    3: 2,\n",
        "    0: 2,\n",
        "    8: 5,\n",
        "    4: 5,\n",
        "    2: 6,\n",
        "    6: 7,\n",
        "    1: 7,\n",
        "    7: 13\n",
        "}\n",
        "\n",
        "def build_model():\n",
        "  model = tf.keras.Sequential()\n",
        "  model.add(tf.keras.layers.Embedding(input_dim=5500, output_dim=32))\n",
        "  model.add(tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(64)))\n",
        "  model.add(tf.keras.layers.Dense(128, activation='relu'))\n",
        "  model.add(tf.keras.layers.Dropout(.2))\n",
        "  model.add(tf.keras.layers.Dense(128, activation='relu'))\n",
        "  model.add(tf.keras.layers.Dense(9, activation='softmax'))\n",
        "\n",
        "  model.compile(loss='sparse_categorical_crossentropy', optimizer=OPTIMIZER, metrics=['accuracy'])\n",
        "  return model\n",
        "\n",
        "def format_time(elapsed):\n",
        "  '''\n",
        "  Takes a time in seconds and returns a string hh:mm:ss\n",
        "  '''\n",
        "  # Round to the nearest second.\n",
        "  elapsed_rounded = int(round((elapsed)))\n",
        "\n",
        "  # Format as hh:mm:ss\n",
        "  return str(datetime.timedelta(seconds=elapsed_rounded))\n",
        "\n",
        "def plot_metrics(history, metrics):\n",
        "  '''\n",
        "  Plotting metrik from training process\n",
        "  '''\n",
        "  plt.title(\"Model Performance\")\n",
        "  for metric in metrics:\n",
        "      plt.plot(history.history[metric],label=metric)\n",
        "  plt.xlabel(\"Epoch\")\n",
        "  plt.legend()\n",
        "  plt.show()\n",
        "\n",
        "cb = tf.keras.callbacks"
      ],
      "execution_count": 173,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        },
        "id": "WL_d2aCperCA",
        "outputId": "6b5464e4-741f-4c61-986f-d5cef8b958b1"
      },
      "source": [
        "model = build_model()\n",
        "stopper = cb.EarlyStopping(patience=3, min_delta=0.05, baseline=0.8,\n",
        "              mode='min', monitor='val_loss', restore_best_weights=True,\n",
        "              verbose=1)\n",
        "\n",
        "tf.keras.utils.plot_model(model, show_shapes=True, rankdir='LR')"
      ],
      "execution_count": 174,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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Gg4lCf5xPFBRF0d9vrErrvRZkgStmeq+lprRS/0yBkfmqqUgqKirc3d179uzJ7LayspL+63gd/9+tUCicnZ2ZvVF/lStz5ae7WlSpnhFMdK9lzpw5jRs3Zh59W1paKpFI+vfvr7qN6qHpJ+ceOHBAbT9a77Xo2b/GvBZ9JqJvvvmGEPL999/rcxTNqalVq1bfffedasNac+1prRBKv0udioqKr776qmnTpvTA1q1b99SpU5qb6XOvpbCw0MnJycPDQ6FQUBSVmZnp7+//6tWrmu616F8D1nxdZCjdxa//lapqHWqdYXTsqtYI27dvn5WVRWl7x278ZUxNNU8/B1wkgyAIsdUt//HUempQK4BaZ28db05r/V3e7rXUSp+uocx/cLiCPtKfWZ+P0tLSCCFvvfXWb7/9lp+fX1hYOHPmTELI9u3b9Xz5OB/pILa6FTYes+4UNRMnTjT0fbGVd4pm7Rn8DLGMjAyFQsF8l5SDg4Ovry/zWVFV9vb2hBDm2zLp58IrlUqtu23VqpWbmxv9fz01HeLevXsKhaJ3795a96B7ba3oaJnwXr58Sak8DKGqqkoqlao+gZ21Bg0avP76687Ozvb29p06ddq6dWt5eTldSUZSewlq2rdv7+joqDVTpiaewOgirKqqIoT06tWrcePG33zzDZ3o5OTkmJgYOsX6FznUBBOFkYyfKNQ+16J7Y2QBVNOqxsh81VQk169fLywspG/V02xtbWut1fT09NLSUuZP+AkhHTp0sLe3V32ihSodJyDVM4Ip7NmzJzU19ciRI8yjb+n/W9fxzRnBwcF169YdPnz4ggULHjx4oOeBDOpfg+gzEdEv59mzZ3ruk5malEplVlbWJ598EhcX99prr9EPFVFjbbVXa4XoIJVK4+Libt26df78+UGDBuXm5kZGRhYUFLDYlZub29ChQwsKCpKTkwkhK1eunDBhAv1ytDK0BkAfuovf0Kssug61zjCsL3pnz549duxYPz8/rWtN9H6nrKyMoihXV1eDIjfdIIAgDD01GDp7q745NfR3RUi1azRZ+eCAPsz6fER/+1GLFi3CwsI8PT3d3Nw+//xzNzc347/aE+cjUGPWnaIqOzt7//799LO/jGe1nWLwvZaysjJCyNy5cyV/efjwIfOlr8aQSqX0UNZ0iKysLEJITc+V073WUO+8887ly5f37dtXXl5+6dKlvXv3vvvuu6b4z7tWrVrZ2treuXOH8z1rkslk9N1LsTFpYD///HOPHj28vb1lMpnqI+wlEsm4ceP+/PPP48ePE0K+//77Dz/8kF5luiK3HpgouGXkRJGUlMSchzhhnVmweExa1RiZr5qKhP5Asbu7u0F7o79E3dnZWXWhu7s7/Rf3tarpjMC55OTkpUuXnjp1iv7ud9rLly/JX+/6tHJwcDhx4kTXrl0TEhKCg4NjYmLKy8tNF6ShtE5EDg4O5K+XZhA7Ozs/P79Ro0YtX748IyNjyZIlmttYW+3VWiH66Nix43//+9/x48fn5eWdPHmS3U4mTJhACNmwYUNhYeHOnTvHjRunY2PWNQA66C5+dldZWmcYdrs6c+ZMWlra6NGj9Xw5XL3fofdAf35L8EEAoRh6amAxezNvTo2c+cVAtWs0WfnggD7M+nxUr149QojqH/TY29sHBgZmZmbq3m2tcD4CNWbdKaoSExPHjBkjl8tr3VIfVtspBt9roUtn5cqVqp+OOXfunJFxVFZWvnjxIiAgQMch6GS/evVK6x50rzXUggULevXqNXLkSFdX18GDB0dFRW3atImTPauprq6urq428n21PpRKZWFhob+/v6kPZChTBHb69Gn6UeyPHj0KDw/39fW9cOFCUVFRYmKi6mYjR46Uy+WbN2/OyMhwdXUNDAykl5uoyK0KJgpu8TZR6MNqs2DZVNOqxsh81VQk9evXJ/9886MP+v/H1d7G63kS0X1G4NDq1au3b99+4sQJ+jUy6P+S1v1JmhYtWvz000/Z2dkzZsxISUlZvny5iYJkQetEVFFRQf56aey0atWKEHLz5k3NVdZWe/pUCIO51CGEDBkyhPlgE+39998nhLB+y9GmTZtOnTr9/vvvsbGxkZGRHh4eOjY2vgZAk+7iZ32VpTnDsNvVli1bjh8/bmNjQ7+/pXeSkJAgkUguXbqkuT1XlzGHDx8mhLz99ttEBIMAQjH01GDo7K365tSYmV8kVLtGk5UPDujDrM9Hzs7OjRo1UrvIrKysdHNz0+/V1wjnI1Bj1p3CbJaTk/Pjjz/Sf3TFCavtFIPvtTRo0EAul1+7do3bOE6ePFldXd22bVsdh2jZsqWNjc0vv/yidQ+61xoqPT09MzMzLy9PqVQ+evRo3bp1ut9n6k/1mRWEEPrbezp37szJznWgH9vdqVMn+kc7OztOHjBiPFMEdvnyZScnJ0JIWlqaUqmcMGFCcHCwXC6XSCSqm3l4eERHR+/du3f58uVjxoxhlpuoyK0KJgojmWKiePr06ahRo4yLixBryoJVUU2rGiPzVVORNGzY0NPT8+jRowbtrWXLls7OzqpXhBcuXKioqGjXrl2tv6v7jMAJiqJmzJiRlpa2d+9etb/0JITUrVtXIpEUFRXV9OvZ2dn0u0Fvb+8lS5a0bdtW6x0I3ugzEdEvx8fHh/VRLl++TAhp0qSJ5iprq71aK0QVc6lDCHn16pVaqWRkZBBCXnvtNX12pRX9LmvXrl2ffPKJ7i2NrwHQpLv42V1laZ1h2O1q69atqm9uVZ/6TT9QyBSXMTk5OStXrvT39//ggw+ICAYBhGLoqcHQ2Vv1zWmtvyue99RaqXWNJmseHNCTuZ+PoqOjr169+ueff9LbKxSKhw8f0n/owxrOR6DJ3DuFlpiYOHz4cE9PT4N2XhNr7hSD77XI5fJRo0bt2LFj3bp1xcXFVVVVWVlZ9DdtGqqioqKoqKiysvLKlStxcXGBgYH0I+FqOoS3t/eQIUN27dq1ZcuW4uLi69evqz5mUfdaQ02cODEgIKC0tJT1Hmry5MmT5OTkwsJCpVJ57ty50aNHBwQEjB8/nvMDEUKqq6sLCgoqKyuvX78+efLkgIAA5qF7oaGhL1682Lt3r1KpzMvLe/jwoeovenp6ZmdnP3jwoKSkRKlUHjp0yNXVNSEhQWyBae5ZqVQ+e/bs1KlT9H9A0H+jfezYsZcvX969e1fz6bHjx49/9erVgQMH+vfvzyzksMitFiYKI+meKAxtSYqiysvLd+/eXdPDmmtlnVmweDWlVY2R+aqpSGQy2ezZs0+fPh0XF/fkyZPq6uqSkhL6QkrHVC+Xy6dOnbpnz57t27cXFxenpaWNHz++Xr16sbGxtUZS6xnBeDdv3vziiy82bdoklUolKuiPpzg6OgYHB9MfMNcqOzt73Lhxt2/frqiouHr16sOHD+n/zqj13Gci+lyx0C+Hfsuq59RUXl5eXV1NUVR2dvbWrVvnzp3r5eWl9T/0ra32aq0QmtqlDi08PDw1NbWwsLCoqGjfvn0zZ84cOHCgMfdaoqKivLy8wsPDg4ODdW+pWgPAFd3Fz+4qS+sMY6KLXuMvYyiKKi0tpeeKvLy8lJSULl262Nra7t27l76YEf8ggIkYemrQZ/au6c1prb9r5FtX/XHSNZY6OGBS5n4+mjJlCv0e59GjR/n5+TNmzCgvL585cya9Fucj4Iq5dwoh5NmzZ998843WN2XoFIOp3tpKSUlRW6LVq1evZsyYERAQYGdnR9dTenp6UlIS/d2YDRs2/PXXX5cuXUp/Ls/Hx+eHH35ITk6m/97Nw8Njx44dFEVt3bq1Z8+edevWtbOzq1Onznvvvffw4UPdh6AoqqSkZPTo0XXq1HF2du7atev8+fMJIf7+/n/88YfutatXr/b19SWEODo6DhgwYO3atXS0jRo1yszM3LhxI537wMDAO3fuUBR14sSJOnXqMKMklUqbNWu2e/fuWgeHoqhz58516dKFfjQkIcTX1zcsLOyXX36h106dOjUkJMTJycnOzs7f33/MmDHZ2dn67NbQlxAbGyuVSv38/Ozs7FxdXQcNGpSZmcnsLT8/v2fPnnK5PCgo6OOPP/70008JIaGhoY8ePaIo6sqVK4GBgQ4ODl27ds3JyTl48KCLi8uiRYs0ozp//nyLFi1sbGzoV5qQkMBbYOvXrw8JCampsPfs2UPvcMaMGZ6enu7u7pGRkWvWrCGEhISE0Hujvf7667NmzVJ7XVorMDExkX5ERoMGDbZt21ZryiIiIiIiIvRJLj94jgcThW7GTBQ6WnLPnj06+mLu3LkURSELnCOEpKSk8HlE3fSJR0da1VJAGZIvrfNkTUVCUdSaNWtatWoll8vlcvnrr7++du1a6p9T/dy5c9WCqa6uXrZsWaNGjaRSqYeHR3h4eEZGBr23WqtF6xlh8uTJdM07OTkNHjy41uHV0bxpaWlaW2/ZsmX078bFxUmlUoVCQf/45Zdfqh76wYMHYWFhHh4etra29evXnzNnTmVlpdqAzJo1y6D+Zf1aKP2uWPr16+fn50dfVRs6NclkskaNGk2YMIE5KaP21CpE95TOXOocPXo0Ojo6JCREJpPZ29s3adJkwYIFL1++VE1BcXHxm2++Sf+dmo2NTWhoaEJCgmaCvLy8Jk6cSC+cPn362bNn6X8zo2FjY9O8efNff/1Vaw3oZuXXRYbSfRrVWtu667CmGUZHm+hJ9a8jaawvY/bv3//aa685Ojra29vT7y8kEom7u/sbb7wRHx+fn5+vurGoBoE3YqtbQeLR0R1azwU6Zm+qtjenun/XoPfUul+U7jMyJ11jvoPDOfSRQcz6fERR1OPHj9977z0PDw+ZTPbGG28cOnSIWYXzkTHEVreCx2PunTJlypThw4dr3R6doptm7UkoimLes6WmpkZHR6susVrr1q27e/cu8yDsioqKmTNnrlu3rqCgwFweSD1u3LidO3fm5+cLHYg6sQXWr1+/NWvWBAUFcb7nyMhIQsjOnTs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            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 174
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rAkGAUByhfnp",
        "outputId": "ae692b00-a800-4877-afa7-38bf912a108b"
      },
      "source": [
        "total_t0 = time.time()\n",
        "\n",
        "hist = model.fit(padded_train, y_tr, epochs=10, validation_data=(padded_valid, y_val), callbacks=[stopper], class_weight=None)\n",
        "\n",
        "print('')\n",
        "print('Training complete!')\n",
        "\n",
        "print('Total training took {:} (h:mm:ss)'.format(format_time(time.time()-total_t0)))"
      ],
      "execution_count": 175,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/10\n",
            "8600/8600 [==============================] - 140s 16ms/step - loss: 0.5303 - accuracy: 0.8265 - val_loss: 0.3956 - val_accuracy: 0.8604\n",
            "Epoch 2/10\n",
            "8600/8600 [==============================] - 137s 16ms/step - loss: 0.2779 - accuracy: 0.9095 - val_loss: 0.3034 - val_accuracy: 0.8872\n",
            "Epoch 3/10\n",
            "8600/8600 [==============================] - 136s 16ms/step - loss: 0.1991 - accuracy: 0.9344 - val_loss: 0.2546 - val_accuracy: 0.9070\n",
            "Epoch 4/10\n",
            "8600/8600 [==============================] - 137s 16ms/step - loss: 0.1322 - accuracy: 0.9567 - val_loss: 0.1680 - val_accuracy: 0.9412\n",
            "Epoch 5/10\n",
            "8600/8600 [==============================] - 135s 16ms/step - loss: 0.0928 - accuracy: 0.9703 - val_loss: 0.1436 - val_accuracy: 0.9503\n",
            "Epoch 6/10\n",
            "8600/8600 [==============================] - 135s 16ms/step - loss: 0.0803 - accuracy: 0.9747 - val_loss: 0.1401 - val_accuracy: 0.9516\n",
            "Epoch 7/10\n",
            "8600/8600 [==============================] - 134s 16ms/step - loss: 0.0790 - accuracy: 0.9748 - val_loss: 0.1401 - val_accuracy: 0.9518\n",
            "Restoring model weights from the end of the best epoch.\n",
            "Epoch 00007: early stopping\n",
            "\n",
            "Training complete!\n",
            "Total training took 0:15:54 (h:mm:ss)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O0Wmr4do5cs6"
      },
      "source": [
        "# Evaluation"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nQWrlQYz6La8"
      },
      "source": [
        "# fig, axs = plt.subplots(1, 2)\n",
        "\n",
        "# axs[1].plot(plot_metrics(hist, ['accuracy', 'val_accuracy']))\n",
        "# axs[0].plot(plot_metrics(hist, ['loss', 'val_loss']))"
      ],
      "execution_count": 190,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "q23chKoo68lx"
      },
      "source": [
        "eval_df = pd.DataFrame(hist.history)\n",
        "length = len(eval_df)"
      ],
      "execution_count": 187,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 400
        },
        "id": "FZb73GVw63h4",
        "outputId": "e140e0cd-d61f-471c-8441-c7dbf915774b"
      },
      "source": [
        "fig, ax = plt.subplots(1, 2, figsize=(15,6))\n",
        "\n",
        "eval_df[['loss','val_loss']].plot(ax=ax[0])\n",
        "ax[0].set(title='Loss', xlabel='Epoch(s)', xticks=range(0,length,2))\n",
        "\n",
        "eval_df[['accuracy','val_accuracy']].plot(ax=ax[1])\n",
        "ax[1].set(title='Accuracy', xlabel='Epoch(s)', xticks=range(0,length,2));"
      ],
      "execution_count": 189,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d3x2U2i27Zf9",
        "outputId": "57a934aa-de5d-4a44-de26-bad549e0c4fe"
      },
      "source": [
        "text_sample = ['L. Hamilton kembali menjuarai kompetisi F1 untuk yang ke sekian kalinya',\n",
        "               'sayang keuangan di perusahaan tersebut kini tengah naik turun']\n",
        "text_sm_cl = [denoise_text(i) for i in text_sample]\n",
        "\n",
        "sekuens_sample = tokenizer.texts_to_sequences(text_sm_cl)\n",
        "padded_sample = pad_sequences(sekuens_sample, truncating=VAL_PDTR, padding=VAL_PDTR, maxlen=12) \n",
        "\n",
        "le.inverse_transform(np.argmax(model.predict(padded_sample), axis=1))"
      ],
      "execution_count": 218,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['oto', 'finance'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 218
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8OZvixaA-UEQ"
      },
      "source": [
        "**<center> Thank You** \n",
        "<br>&copy;2021"
      ]
    }
  ]
}