text2emotion visualization.ipynb

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      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/p-ai-org/p-colleges/blob/main/text2emotion%20visualization.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "metadata": {
        "id": "9g8BIx6oSvuG"
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      "source": [
        "# packages\n",
        "#solution to unicode problem - got most recent library directly from the github repos\n",
        "!pip install emoji\n",
        "!wget https://raw.githubusercontent.com/aman2656/text2emotion-library/master/Text2Emotion/__init__.py\n",
        "\n",
        "import __init__ as te"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"I was asked to sign a third party contract a week out from stay. If it wasn't an 8 person group that took a lot of wrangling I would have cancelled the booking straight away. Bathrooms - there are no stand alone bathrooms. Please consider this - you have to clear out the main bedroom to use that bathroom. Other option is you walk through a different bedroom to get to its en-suite. Signs all over the apartment - there are signs everywhere - some helpful - some telling you rules. Perhaps some people like this but It negatively affected our enjoyment of the accommodation. Stairs - lots of them - some had slightly bending wood which caused a minor injury.\"\n",
        "\n",
        "te.get_emotion(text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xhmoRR_ZUN0f",
        "outputId": "d504e2ee-7f07-49ed-8a26-2f28ead9772f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Happy': 0.06, 'Angry': 0.11, 'Surprise': 0.06, 'Sad': 0.33, 'Fear': 0.44}"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"you got this man 😆😂\"\n",
        "te.get_emotion(text)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uMJ28YniUOT7",
        "outputId": "57c6bb82-72b5-444c-8506-03b080a6c007"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Happy': 1.0, 'Angry': 0.0, 'Surprise': 0.0, 'Sad': 0.0, 'Fear': 0.0}"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"I am extremely interested in software.\"\n",
        "te.get_emotion(text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XsZg0e7tWnWr",
        "outputId": "7905cfd4-d935-4b44-db95-9b9add028405"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Happy': 1.0, 'Angry': 0.0, 'Surprise': 0.0, 'Sad': 0.0, 'Fear': 0.0}"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"The times are difficult! Our sales have been disappointing for the past three quarters for our data analytics product suite. We have a competitive data analytics product suite in the industry. However, we are not doing a good job at selling it, and this is really frustrating.\"\n",
        "te.get_emotion(text)"
      ],
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        "id": "9xmViqUAjNHs",
        "outputId": "4d5449fa-3fd5-4d62-88f4-abe9b0d4997f"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Happy': 0.0, 'Angry': 0.25, 'Surprise': 0.0, 'Sad': 0.5, 'Fear': 0.25}"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"That night was so horrible.\"\n",
        "te.get_emotion(text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vTA4qbQXjVjj",
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Happy': 0.5, 'Angry': 0.0, 'Surprise': 0.0, 'Sad': 0.0, 'Fear': 0.5}"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"I just love this surprise.\"\n",
        "te.get_emotion(text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L8LLOtnujXhk",
        "outputId": "a28c477c-8423-4b74-ae97-a3aa2b93e714"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Happy': 0.5, 'Angry': 0.0, 'Surprise': 0.5, 'Sad': 0.0, 'Fear': 0.0}"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"I can't understand what to do now.\"\n",
        "te.get_emotion(text)"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Happy': 0.0, 'Angry': 0.0, 'Surprise': 0.0, 'Sad': 1.0, 'Fear': 0.0}"
            ]
          },
          "metadata": {},
          "execution_count": 117
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# start of visualizing text2emotion\n",
        "\n",
        "# packages\n",
        "import plotly.express as px\n",
        "import pandas as pd"
      ],
      "metadata": {
        "id": "mWqWl6sSjwHM"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# creating the visualization\n",
        "\n",
        "def visualization(text):\n",
        "  \"\"\"This function takes in the text and returns a visual representation of the text2emotion data that corresponds with the text2emotion values. If we want to update the sides, we would have to do it through the text2emotion.\"\"\"\n",
        "  # convert dictionary into data frame\n",
        "  textDictionary = te.get_emotion(text)\n",
        "  values = textDictionary.values()\n",
        "  keys = textDictionary.keys()\n",
        "  df = pd.DataFrame(dict(r=values,theta=keys))\n",
        "\n",
        "  #debug\n",
        "  print(df)\n",
        "\n",
        "  #visualizing the graph\n",
        "  fig = px.line_polar(df, r='r', theta='theta', line_close=True)\n",
        "  fig.update_traces(fill='toself')\n",
        "  fig.show()"
      ],
      "metadata": {
        "id": "3eppZtSafHuV"
      },
      "execution_count": 119,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.DataFrame(dict(\n",
        "    r=[1, 5, 2, 2, 3],\n",
        "    theta=['processing cost','mechanical properties','chemical stability',\n",
        "           'thermal stability', 'device integration']))\n",
        "print(df)\n",
        "\n",
        "fig = px.line_polar(df, r='r', theta='theta', line_close=True)\n",
        "fig.update_traces(fill='toself')\n",
        "fig.show()"
      ],
      "metadata": {
        "id": "riOxGkweltDY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "visualization(\"That night was so horrible.\")"
      ],
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          "height": 716
        },
        "id": "uTnWL9LPgMCk",
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      "execution_count": 120,
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          "text": [
            "     r     theta\n",
            "0  0.5     Happy\n",
            "1  0.0     Angry\n",
            "2  0.0  Surprise\n",
            "3  0.0       Sad\n",
            "4  0.5      Fear\n"
          ]
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          "text": [
            "/usr/local/lib/python3.9/dist-packages/plotly/express/_core.py:271: FutureWarning:\n",
            "\n",
            "The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
            "\n"
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      "source": [
        "visualization(\"you got this man 😆😂\")"
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            "     r     theta\n",
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            "1  0.0     Angry\n",
            "2  0.0  Surprise\n",
            "3  0.0       Sad\n",
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        "text = \"I was asked to sign a third party contract a week out from stay. If it wasn't an 8 person group that took a lot of wrangling I would have cancelled the booking straight away. Bathrooms - there are no stand alone bathrooms. Please consider this - you have to clear out the main bedroom to use that bathroom. Other option is you walk through a different bedroom to get to its en-suite. Signs all over the apartment - there are signs everywhere - some helpful - some telling you rules. Perhaps some people like this but It negatively affected our enjoyment of the accommodation. Stairs - lots of them - some had slightly bending wood which caused a minor injury.\"\n",
        "visualization(text)"
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            "      r     theta\n",
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            "1  0.11     Angry\n",
            "2  0.06  Surprise\n",
            "3  0.33       Sad\n",
            "4  0.44      Fear\n"
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    {
      "cell_type": "code",
      "source": [
        "text = \"The times are difficult! Our sales have been disappointing for the past three quarters for our data analytics product suite. We have a competitive data analytics product suite in the industry. However, we are not doing a good job at selling it, and this is really frustrating.\"\n",
        "visualization(text)"
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      "execution_count": 123,
      "outputs": [
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          "text": [
            "      r     theta\n",
            "0  0.00     Happy\n",
            "1  0.25     Angry\n",
            "2  0.00  Surprise\n",
            "3  0.50       Sad\n",
            "4  0.25      Fear\n"
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          "text": [
            "/usr/local/lib/python3.9/dist-packages/plotly/express/_core.py:271: FutureWarning:\n",
            "\n",
            "The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
            "\n"
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