tripadvisor_hotel_reviews.ipynb

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  "metadata": {
    "colab": {
      "name": "TripAdvisor Hotel Reviews.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyO/RkO3l8doS7i0UdRsVRF8",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/howard-haowen/NLP-demos/blob/main/tripadvisor_hotel_reviews.ipynb.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The dataset is downloaded from [here](https://zenodo.org/record/1219899#.YkRn1RBBwWo)."
      ],
      "metadata": {
        "id": "afPzL2SQW0TR"
      }
    },
    {
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      "execution_count": 1,
      "metadata": {
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        "id": "XqPlx_W7WxZ6",
        "outputId": "cf165745-efcc-421b-bfea-93f1b5cabe41"
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      "outputs": [
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          "text": [
            "--2022-03-30 15:05:50--  https://zenodo.org/record/1219899/files/b.csv?download=1\n",
            "Resolving zenodo.org (zenodo.org)... 137.138.76.77\n",
            "Connecting to zenodo.org (zenodo.org)|137.138.76.77|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 15088666 (14M) [text/plain]\n",
            "Saving to: ‘reviews.csv’\n",
            "\n",
            "reviews.csv         100%[===================>]  14.39M  2.29MB/s    in 5.3s    \n",
            "\n",
            "2022-03-30 15:05:57 (2.71 MB/s) - ‘reviews.csv’ saved [15088666/15088666]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "!wget -O reviews.csv https://zenodo.org/record/1219899/files/b.csv?download=1"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "pd.options.plotting.backend = \"plotly\""
      ],
      "metadata": {
        "id": "_jbnUHSlW9Fh"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"reviews.csv\", encoding='latin-1')\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "sfr9vZMVXAQM",
        "outputId": "ea6f31c6-880c-4959-83c9-408d6b626789"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       S.No.                                             Review  Rating\n",
              "0          1  nice hotel expensive parking got good deal sta...       4\n",
              "1          2  ok nothing special charge diamond member hilto...       2\n",
              "2          3  nice rooms not 4* experience hotel monaco seat...       3\n",
              "3          4  unique \\tgreat stay \\twonderful time hotel mon...       5\n",
              "4          5  great stay great stay \\twent seahawk game awes...       5\n",
              "...      ...                                                ...     ...\n",
              "20486  20487  best kept secret 3rd time staying charm \\tnot ...       5\n",
              "20487  20488  great location price view hotel great quick pl...       4\n",
              "20488  20489  ok just looks nice modern outside \\tdesk staff...       2\n",
              "20489  20490  hotel theft ruined vacation hotel opened sept ...       1\n",
              "20490  20491  people talking \\tca n't believe excellent rati...       2\n",
              "\n",
              "[20491 rows x 3 columns]"
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              "      <td>20488</td>\n",
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              "      <th>20488</th>\n",
              "      <td>20489</td>\n",
              "      <td>ok just looks nice modern outside \\tdesk staff...</td>\n",
              "      <td>2</td>\n",
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              "    <tr>\n",
              "      <th>20489</th>\n",
              "      <td>20490</td>\n",
              "      <td>hotel theft ruined vacation hotel opened sept ...</td>\n",
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              "    <tr>\n",
              "      <th>20490</th>\n",
              "      <td>20491</td>\n",
              "      <td>people talking \\tca n't believe excellent rati...</td>\n",
              "      <td>2</td>\n",
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    },
    {
      "cell_type": "code",
      "source": [
        "df.Review.apply(len).agg(['min', 'max', 'mean', 'std'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3DavQ0l8XGW1",
        "outputId": "a7a44407-2bfb-4846-e25d-5a1871147f87"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "min        44.000000\n",
              "max     13501.000000\n",
              "mean      724.896833\n",
              "std       689.101024\n",
              "Name: Review, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    }
  ]
}