sentiment_analysis+vz_Obama_Romney_2012.ipynb

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   },
   "source": [
    "## Sentiment analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "YddbxG5sbd9r",
   "metadata": {
    "colab": {
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    },
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    "outputId": "1099cb42-ab03-4403-e0f8-7e23be7999b6"
   },
   "outputs": [],
   "source": [
    "!pip install pyreadr "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "Fx8idvoqbIlB",
   "metadata": {
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    "id": "Fx8idvoqbIlB",
    "outputId": "4046a623-b336-41af-a3ca-c2da25dfaa6e"
   },
   "outputs": [],
   "source": [
    "!pip install transformers"
   ]
  },
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   "execution_count": null,
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   "source": [
    "%%capture\n",
    "\n",
    "import sys\n",
    "from transformers import pipeline\n",
    "import pyreadr\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from scipy import stats\n",
    "\n",
    "import matplotlib.dates as mdates"
   ]
  },
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   "source": [
    "sentiment_classifier = pipeline(task=\"sentiment-analysis\", device=0) # run on GPU!!"
   ]
  },
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   "source": [
    "#pretrained_LM_path = \"kornosk/bert-political-election2012-twitter-mlm\" # Knowledge Enhance Masked Language Model for Stance Detection\n",
    "pretrained_LM_path = \"m-newhauser/distilbert-political-tweets\" # to classify short pieces of text as having either Democratic or Republican sentiment\n",
    "poli_sentiment_classifier = pipeline(model=pretrained_LM_path, task=\"sentiment-analysis\", device=0) # 0 means 'CUDA'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3abc8572-9c1d-44cf-ae43-280b0a76b572",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 36
    },
    "id": "3abc8572-9c1d-44cf-ae43-280b0a76b572",
    "outputId": "b2307047-b769-459c-b526-3d1fc3b1b3c4"
   },
   "outputs": [],
   "source": [
    "''' for google drive'''\n",
    "df_rmn_twt_clean = pd.read_csv('/content/drive/MyDrive/Romney_twts_2012.csv')\n",
    "df_obm_twt_clean = pd.read_csv('/content/drive/MyDrive/Obama_twts_2012.csv')\n",
    "\n",
    "'''df_rmn_twt_clean = pd.read_csv('Romneyn_twts_2016.csv')\n",
    "df_obm_twt_clean = pd.read_csv('Obama_twts_2016.csv')'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "9f06bd11-44ad-408f-bfc5-a4e4ca7eb281",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "9f06bd11-44ad-408f-bfc5-a4e4ca7eb281",
    "outputId": "d4e8e3ea-ff37-44e7-98b2-19cc3481b521"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/transformers/pipelines/base.py:1039: UserWarning: You seem to be using the pipelines sequentially on GPU. In order to maximize efficiency please use a dataset\n",
      "  UserWarning,\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2min 15s, sys: 561 ms, total: 2min 16s\n",
      "Wall time: 2min 17s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_rmn_twt_clean['poli_sentiment'] =  df_rmn_twt_clean.text.apply(poli_sentiment_classifier)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "mPiyM0GEdqXW",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "mPiyM0GEdqXW",
    "outputId": "78547348-6795-4ee8-e3ac-41c4e889305e"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/transformers/pipelines/base.py:1039: UserWarning: You seem to be using the pipelines sequentially on GPU. In order to maximize efficiency please use a dataset\n",
      "  UserWarning,\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1min 18s, sys: 318 ms, total: 1min 18s\n",
      "Wall time: 1min 18s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_obm_twt_clean['poli_sentiment'] =  df_obm_twt_clean.text.apply(poli_sentiment_classifier)\n",
    "df_rmn_twt_clean['political_label'] = [li[0]['label'] for li in df_rmn_twt_clean['poli_sentiment']]\n",
    "df_obm_twt_clean['political_label'] = [li[0]['label'] for li in df_obm_twt_clean['poli_sentiment']]\n",
    "df_rmn_twt_clean['political_score'] = [li[0]['score'] for li in df_rmn_twt_clean['poli_sentiment']]\n",
    "df_obm_twt_clean['political_score'] = [li[0]['score'] for li in df_obm_twt_clean['poli_sentiment']]\n",
    "df_rmn_twt_clean = df_rmn_twt_clean.drop(columns=['poli_sentiment'])\n",
    "df_obm_twt_clean = df_obm_twt_clean.drop(columns=['poli_sentiment'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "7629d6b6-9687-4b71-acfb-926c466d589a",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "7629d6b6-9687-4b71-acfb-926c466d589a",
    "outputId": "5c9829ed-d44a-4610-836a-c80441364131"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/transformers/pipelines/base.py:1039: UserWarning: You seem to be using the pipelines sequentially on GPU. In order to maximize efficiency please use a dataset\n",
      "  UserWarning,\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2min 15s, sys: 559 ms, total: 2min 16s\n",
      "Wall time: 2min 15s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_rmn_twt_clean['sentiment'] =  df_rmn_twt_clean.text.apply(sentiment_classifier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "a0c254c3-ab42-4313-b54a-5230ab30a4fc",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "a0c254c3-ab42-4313-b54a-5230ab30a4fc",
    "outputId": "a8235ab9-a84c-414c-8833-8f91cca08165"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/transformers/pipelines/base.py:1039: UserWarning: You seem to be using the pipelines sequentially on GPU. In order to maximize efficiency please use a dataset\n",
      "  UserWarning,\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1min 17s, sys: 270 ms, total: 1min 17s\n",
      "Wall time: 1min 17s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_obm_twt_clean['sentiment'] =  df_obm_twt_clean.text.apply(sentiment_classifier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "880fa2c6-e677-42a3-a507-3fdca4618925",
   "metadata": {
    "id": "880fa2c6-e677-42a3-a507-3fdca4618925"
   },
   "outputs": [],
   "source": [
    "df_rmn_twt_clean['sentiment_label'] = [li[0]['label'] for li in df_rmn_twt_clean['sentiment']]\n",
    "df_obm_twt_clean['sentiment_label'] = [li[0]['label'] for li in df_obm_twt_clean['sentiment']]\n",
    "df_rmn_twt_clean['sentiment_score'] = [li[0]['score'] for li in df_rmn_twt_clean['sentiment']]\n",
    "df_obm_twt_clean['sentiment_score'] = [li[0]['score'] for li in df_obm_twt_clean['sentiment']]\n",
    "df_rmn_twt_clean = df_rmn_twt_clean.drop(columns=['sentiment'])\n",
    "df_obm_twt_clean = df_obm_twt_clean.drop(columns=['sentiment'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "sNhcyVfieva9",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 36
    },
    "id": "sNhcyVfieva9",
    "outputId": "8cb06da8-c328-4939-c445-848bd5cf9fa8"
   },
   "outputs": [],
   "source": [
    "''' for colab'''\n",
    "df_rmn_twt_clean.to_csv('/content/drive/MyDrive/Romney_twts_2012_classified_senti+poli.csv')\n",
    "df_obm_twt_clean.to_csv('/content/drive/MyDrive/Obama_twts_2012_classified_senti+poli.csv')\n",
    "\n",
    "'''local GPU\n",
    "df_rmn_twt_clean.to_csv('Romney_twts_2016_classified_senti.csv')\n",
    "df_obm_twt_clean.to_csv('Obama_twts_2016_classified_senti.csv')'''"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6702a253-ae3f-47ad-bbca-111e4841d878",
   "metadata": {
    "id": "6702a253-ae3f-47ad-bbca-111e4841d878"
   },
   "source": [
    "## Plot time series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cbce235f-cd95-48e8-9fb7-daf51bcb76ce",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "cbce235f-cd95-48e8-9fb7-daf51bcb76ce",
    "outputId": "0ac7e2a4-c3b5-4a85-d15b-b64130cdc4d3"
   },
   "outputs": [],
   "source": [
    "!pip install seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a543c925-c584-49b1-9b94-37ea56cd0d48",
   "metadata": {
    "id": "a543c925-c584-49b1-9b94-37ea56cd0d48"
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "from datetime import datetime, timedelta\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from scipy import stats\n",
    "import matplotlib.dates as mdates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "xNFnXY7H7IAy",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "xNFnXY7H7IAy",
    "outputId": "b4fa88e8-126c-4712-c614-d2b4546cb6c6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mounted at /content/drive\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "183ae744-224c-4a2f-90e5-fcb5f96cc088",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "183ae744-224c-4a2f-90e5-fcb5f96cc088",
    "outputId": "3c280644-c133-4066-8aa9-7f9cda75a8c9"
   },
   "outputs": [],
   "source": [
    "dfRomney = pd.read_csv('/content/drive/MyDrive/Romney_twts_2012_classified_senti+poli.csv', parse_dates=['time'])\n",
    "dfRomney.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e141e8c8-ce00-4f4b-83fa-08b45f4b0201",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "e141e8c8-ce00-4f4b-83fa-08b45f4b0201",
    "outputId": "f935d81d-d5ff-4097-89de-999df04fb754"
   },
   "outputs": [],
   "source": [
    "dfObama = pd.read_csv('/content/drive/MyDrive/Obama_twts_2012_classified_senti+poli.csv',  parse_dates=['time'])\n",
    "dfObama.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "38b8747b-12d0-4ee4-acd5-a9550efa2e90",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "38b8747b-12d0-4ee4-acd5-a9550efa2e90",
    "outputId": "5e413f1a-6a10-4b6f-fee5-edcc9511781c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NEGATIVE    18595\n",
       "POSITIVE     7137\n",
       "Name: sentiment_label, dtype: int64"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfRomney['sentiment_label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "d55cffa3-4b95-4ccd-a175-88479fe1d196",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "d55cffa3-4b95-4ccd-a175-88479fe1d196",
    "outputId": "eadff9a5-d1b0-4a2b-ba26-8a445c31aed6"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NEGATIVE    8509\n",
       "POSITIVE    6395\n",
       "Name: sentiment_label, dtype: int64"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfObama['sentiment_label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "7d478cc6-2e83-42ad-a80e-5b3d765696f3",
   "metadata": {
    "id": "7d478cc6-2e83-42ad-a80e-5b3d765696f3"
   },
   "outputs": [],
   "source": [
    "dfObamaSentiDay = dfObama.groupby([dfObama['time'].dt.date, 'sentiment_label', 'political_label'])['sentiment_label'].count().reset_index(name='counts')\n",
    "dfRomneySentiDay = dfRomney.groupby([dfRomney['time'].dt.date, 'sentiment_label', 'political_label'])['sentiment_label'].count().reset_index(name='counts')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "e96c2208-8651-40a7-99e5-240303aa706e",
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    },
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    "outputId": "c1818f7e-c8f8-46d0-e1bd-dd3194af49bb"
   },
   "outputs": [
    {
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      "text/plain": [
       "          time sentiment_label political_label  counts\n",
       "0   2012-10-19        NEGATIVE        Democrat     510\n",
       "1   2012-10-19        NEGATIVE      Republican     669\n",
       "2   2012-10-19        POSITIVE        Democrat     284\n",
       "3   2012-10-19        POSITIVE      Republican     383\n",
       "4   2012-10-20        NEGATIVE        Democrat     189\n",
       "5   2012-10-20        NEGATIVE      Republican     336\n",
       "6   2012-10-20        POSITIVE        Democrat     193\n",
       "7   2012-10-20        POSITIVE      Republican     198\n",
       "8   2012-10-21        NEGATIVE        Democrat     213\n",
       "9   2012-10-21        NEGATIVE      Republican     338\n",
       "10  2012-10-21        POSITIVE        Democrat     156\n",
       "11  2012-10-21        POSITIVE      Republican     172\n",
       "12  2012-10-22        NEGATIVE        Democrat     289\n",
       "13  2012-10-22        NEGATIVE      Republican     490\n",
       "14  2012-10-22        POSITIVE        Democrat     346\n",
       "15  2012-10-22        POSITIVE      Republican     603\n",
       "16  2012-10-23        NEGATIVE        Democrat    1134\n",
       "17  2012-10-23        NEGATIVE      Republican    1439\n",
       "18  2012-10-23        POSITIVE        Democrat    1031\n",
       "19  2012-10-23        POSITIVE      Republican     660\n",
       "20  2012-10-24        NEGATIVE        Democrat     627\n",
       "21  2012-10-24        NEGATIVE      Republican     714\n",
       "22  2012-10-24        POSITIVE        Democrat     349\n",
       "23  2012-10-24        POSITIVE      Republican     348\n",
       "24  2012-10-25        NEGATIVE        Democrat     501\n",
       "25  2012-10-25        NEGATIVE      Republican    1060\n",
       "26  2012-10-25        POSITIVE        Democrat     651\n",
       "27  2012-10-25        POSITIVE      Republican    1021"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfObamaSentiDay.tail(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "89fcd098-de38-423c-852f-2caf3abc8fa2",
   "metadata": {
    "id": "89fcd098-de38-423c-852f-2caf3abc8fa2"
   },
   "outputs": [],
   "source": [
    "# colors\n",
    "repgreen = \"#00AA00\"\n",
    "repred = \"#FF0000\"\n",
    "demblue = \"#0015BC\"\n",
    "demorange = \"#ff9747\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "93a97e50-6a1c-49d2-ad1a-14be441c94ad",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 225
    },
    "id": "93a97e50-6a1c-49d2-ad1a-14be441c94ad",
    "outputId": "1f426b65-6fc8-46d2-fb5a-87d21d9d2c76"
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#kde plot\n",
    "def plot_kde(ax, data, palette, title, legend=True):\n",
    "    sns.kdeplot(\n",
    "        data=data, \n",
    "        x=\"time\",\n",
    "        hue=\"sentiment_label\",\n",
    "        hue_order=[\"POSITIVE\", \"NEGATIVE\"],\n",
    "        palette=palette,\n",
    "        ax=ax,\n",
    "        #multiple=\"stack\",\n",
    "        fill=True,\n",
    "        legend=legend,\n",
    "    )\n",
    "    ax.set_title(title)\n",
    "    #hide the right border and the top border so that it looks like a coordinate system\n",
    "    ax.spines['right'].set_visible(False)\n",
    "    ax.spines['top'].set_visible(False)\n",
    "    ax.tick_params(axis='x', rotation=45)\n",
    "    ax.set_xlabel(\"Time\", fontsize=12,)\n",
    "    ax.set_ylabel(\"Count of tweets\", fontsize=12)\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(12, 3), sharey=True)\n",
    "\n",
    "plot_kde(\n",
    "    axes[0], \n",
    "    dfObama, \n",
    "    [repred, repgreen],\n",
    "    \"Sentiment in tweets concerning Obama only\",\n",
    ")\n",
    "\n",
    "plot_kde(\n",
    "    axes[1], \n",
    "    dfRomney, \n",
    "    [demblue, demorange],\n",
    "    \"Sentiment in tweets concerning Romney only\",\n",
    ")\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "41a49edd-eba8-4052-b100-62610cf7d214",
   "metadata": {
    "id": "41a49edd-eba8-4052-b100-62610cf7d214"
   },
   "outputs": [],
   "source": [
    "#histogram\n",
    "def plot_histogram(ax, data, palette, title, legend=True, hue=\"sentiment_label\", hue_order=[\"POSITIVE\", \"NEGATIVE\"]):\n",
    "    sns.histplot(\n",
    "        data=data, \n",
    "        x=\"time\", \n",
    "        hue=hue,\n",
    "        hue_order=hue_order,\n",
    "        palette=palette,\n",
    "        ax=ax,\n",
    "        shrink=.6,\n",
    "        edgecolor=None,\n",
    "        multiple=\"stack\",\n",
    "        fill=True,\n",
    "        legend=legend,\n",
    "    )\n",
    "    ax.set_title(title)\n",
    "    #hide the right border and the top border so that it looks like a coordinate system\n",
    "    ax.spines['right'].set_visible(False)\n",
    "    ax.spines['top'].set_visible(False)\n",
    "    ax.tick_params(axis='x', rotation=45,)\n",
    "    ax.set_xlabel(\"Time\", fontsize=12,)\n",
    "    ax.set_ylabel(\"Count of tweets\", fontsize=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "3c77f84d-e31f-459d-8501-4aa1b1576121",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 585
    },
    "id": "3c77f84d-e31f-459d-8501-4aa1b1576121",
    "outputId": "8678db70-770e-4668-baf1-0fffda6f44ef"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 1, figsize=(20, 8))\n",
    "\n",
    "plot_histogram(\n",
    "    axes[0], \n",
    "    dfObama, \n",
    "    [demblue, demorange],\n",
    "    \"Sentiment in tweets concerning Obama only\",\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[1], \n",
    "    dfRomney, \n",
    "    [repred, repgreen],\n",
    "    \"Sentiment in tweets concerning Romney only\",\n",
    ")\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "26390373-9a3d-4679-a280-42e62d140057",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 729
    },
    "id": "26390373-9a3d-4679-a280-42e62d140057",
    "outputId": "0aea8ac1-25b9-40d2-ce57-1e822a48e27e"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#histogram + political orientation\n",
    "fig, axes = plt.subplots(2, 2, figsize=(20, 10),sharey=True)\n",
    "plot_histogram(\n",
    "    axes[0][0], \n",
    "    dfObama[dfObama[\"political_label\"] == \"Democrat\"], \n",
    "    [demblue, demorange],\n",
    "    \"Democrat's view: Sentiment in tweets concerning Obama only\",\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[0][1], \n",
    "    dfObama[dfObama[\"political_label\"] == \"Republican\"], \n",
    "    [repred, repgreen],\n",
    "    \"Republican's view: Sentiment in tweets concerning Obama only\",\n",
    "    #legend=True\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[1][0], \n",
    "    dfRomney[dfRomney[\"political_label\"] == \"Democrat\"], \n",
    "    [demblue, demorange],\n",
    "    \"Democrat's view: Sentiment in tweets concerning Romney only\",\n",
    "    legend=True\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[1][1], \n",
    "    dfRomney[dfRomney[\"political_label\"] == \"Republican\"], \n",
    "    [repred, repgreen],\n",
    "    \"Republican's view: Sentiment in tweets concerning Romney only\",\n",
    "    legend=True\n",
    ")\n",
    "\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "445e6e32-846b-4f2b-96f5-5c8f0db5acf9",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 729
    },
    "id": "445e6e32-846b-4f2b-96f5-5c8f0db5acf9",
    "outputId": "718a4625-bfee-495b-b5be-2aac3e669fed"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#histogram who dislike more Obama?\n",
    "fig, axes = plt.subplots(2, 2, figsize=(20, 10),sharey=True)\n",
    "plot_histogram(\n",
    "    axes[0][0], \n",
    "    dfObama[dfObama[\"sentiment_label\"] == \"NEGATIVE\"], \n",
    "    [repred, demblue],\n",
    "    \"Who says more NEGATIVE things about Obama\",\n",
    "    hue=\"political_label\",\n",
    "    hue_order=[\"Republican\", \"Democrat\"]\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[0][1], \n",
    "    dfObama[dfObama[\"sentiment_label\"] == \"POSITIVE\"], \n",
    "    [repred, demblue],\n",
    "    \"Who says more POSITIVE things about Obama\",\n",
    "    hue=\"political_label\",\n",
    "    hue_order=[\"Republican\", \"Democrat\"]\n",
    "    #legend=True\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[1][0], \n",
    "    dfRomney[dfRomney[\"sentiment_label\"] == \"NEGATIVE\"], \n",
    "    [repred, demblue],\n",
    "    \"Who says more NEGATIVE things about Romney\",\n",
    "    legend=True,\n",
    "    hue=\"political_label\",\n",
    "    hue_order=[\"Republican\", \"Democrat\"]\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[1][1], \n",
    "    dfRomney[dfRomney[\"sentiment_label\"] == \"POSITIVE\"], \n",
    "    [repred, demblue],\n",
    "    \"Who says more POSITIVE things about Romney\",\n",
    "    legend=True,\n",
    "    hue=\"political_label\",\n",
    "    hue_order=[\"Republican\", \"Democrat\"]\n",
    ")\n",
    "\n",
    "\n",
    "fig.tight_layout()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1a151a7-7997-443a-bea3-bc4887817cbf",
   "metadata": {
    "id": "d1a151a7-7997-443a-bea3-bc4887817cbf"
   },
   "source": [
    "### merged from Federico"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "GcZD9h6BHOYb",
   "metadata": {
    "id": "GcZD9h6BHOYb"
   },
   "outputs": [],
   "source": [
    "dfRomney = pd.read_csv('/content/drive/MyDrive/Romney_twts_2012_classified_senti+poli.csv', parse_dates=['time'])\n",
    "dfObama = pd.read_csv('/content/drive/MyDrive/Obama_twts_2012_classified_senti+poli.csv',  parse_dates=['time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "bfe5eea0-11e3-4039-ab7d-11a60c335ab0",
   "metadata": {
    "id": "bfe5eea0-11e3-4039-ab7d-11a60c335ab0"
   },
   "outputs": [],
   "source": [
    "# Convert sentiment to int format\n",
    "dfObama['sentiment_label'] = dfObama['sentiment_label'].replace({'POSITIVE': 1, 'NEGATIVE': -1})\n",
    "dfRomney['sentiment_label'] = dfRomney['sentiment_label'].replace({'POSITIVE': 1, 'NEGATIVE': -1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "8684105f-4829-413c-9448-9958c9da3d43",
   "metadata": {
    "id": "8684105f-4829-413c-9448-9958c9da3d43"
   },
   "outputs": [],
   "source": [
    "#Average of sentiment values for each day\n",
    "dfObamaDay = dfObama.groupby([dfObama['time'].dt.date]).mean()\n",
    "dfRomneyDay = dfRomney.groupby([dfRomney['time'].dt.date]).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "73b7f614-dc0f-4e23-b631-e7aa45e64243",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "id": "73b7f614-dc0f-4e23-b631-e7aa45e64243",
    "outputId": "87b6a933-1aca-42f7-d598-4b6353e39167"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(dfObamaDay.sentiment_label,'bo-')\n",
    "plt.plot(dfRomneyDay.sentiment_label,'ro-')\n",
    "plt.axvline(pd.Timestamp('2012-10-22'),color='k',linestyle='--')\n",
    "plt.xlabel(\"day\")\n",
    "plt.ylabel(\"mean sentiment\")\n",
    "myFmt = mdates.DateFormatter('%m/%d')\n",
    "plt.gca().xaxis.set_major_formatter(myFmt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "c49288fe-3c87-438f-a129-370f2e427710",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "id": "c49288fe-3c87-438f-a129-370f2e427710",
    "outputId": "9b958c0e-451c-4081-b52b-1845b62fea78"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "window_size = 3\n",
    "plt.plot(dfObamaDay.sentiment_label.rolling(window_size).mean(),'bo-')\n",
    "plt.plot(dfRomneyDay.sentiment_label.rolling(window_size).mean(),'ro-')\n",
    "plt.axvline(pd.Timestamp('2012-10-22'),color='k',linestyle='--')\n",
    "plt.xlabel(\"day\")\n",
    "plt.ylabel(\"mean sentiment\")\n",
    "myFmt = mdates.DateFormatter('%m/%d')\n",
    "plt.gca().xaxis.set_major_formatter(myFmt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "75b8a977-ef67-4ca6-867e-808fefc9cc0d",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 317
    },
    "id": "75b8a977-ef67-4ca6-867e-808fefc9cc0d",
    "outputId": "69de4459-55a7-4f83-a5e7-43189804931f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x7fc577f60c50>,\n",
       "  <matplotlib.axis.XTick at 0x7fc577a22710>],\n",
       " [Text(0, 0, 'outgroup'), Text(0, 0, 'ingroup')])"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAD4CAYAAAD7CAEUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAeb0lEQVR4nO3deZSc1X3m8e+vN0ndktAutZZWSyDQAkJLm0UGggPHM/Yh4HjBi0IEQcgMNjZnYiZidE5MZo5OlHgyk/E4M4kmOTEhbWJCTCSbAQIyGAx2TLckEIsUgaCF9hVtrbX7N3/caldV91vdb3V3dVV1PZ9z3lPLvVV1C4l6dN/73nvN3REREYmrLN8NEBGR4qLgEBGRrCg4REQkKwoOERHJioJDRESyUpHvBvS3cePGeX19fb6bISJSVJqbmw+5+/g4dQddcNTX19PU1JTvZoiIFBUza4lbV6eqREQkKwoOERHJioJDRESyouAQEZGsKDhERCQrCg4RkSLX2Aj19VBWFm4bG3P7eYPuclwRkVLS2AgrVkBra3jc0hIeAyxdmpvPVI9DRKSIPfRQMjQ6tLbCqlW5+0z1OEREikRrK2zeDBs3QnNzOD78MLruzp25a4eCQ0SkAJ06FUKiIyCam+Gdd6C9PZRPmACLF4eAOHas6+vr6nLXNgWHiEienTwJmzal9yS2bk2GxKRJISQ+97lwu3gxTJ4MZl3HOACqq2H16ty1V8EhIjKATpwIIZHak9i2DTp28a6tDcHwhS+kh0QmHQPgq1aF3kddXQiNXA2MA9hg23O8oaHBtcihiBSC48dDLyK1J/Fv/5YMiSlTkuGweDEsWhSCIx/MrNndG+LUVY9DRKQfHDuWHhDNzbB9e7J86tQQDkuXJoNi4sT8tbcvFBwiIlk6ejQZEh23776bLK+rC8GwbFmyJzFhQv7a298UHCIi3ThypGtPYseOZPn06SEc7rorGRLjY22HVLwUHCIiCYcPJ8OhIyzefz9ZPmNGCId77kmGxNix+Wtvvig4RKQkHTqU3otobg7LdXSYORMaGuCrX02GxJgx+WtvIVFwiMigd+BAei+iuTl9ZvUll8A118DXvhZCYuFCGD06f+0tdHkJDjMbA/wQqAc+AG5396MR9Z4BrgF+7u63DGQbRaQ47d/ftSexa1eyfNYsWLIE7r8/GRKjRuWvvcUoXz2OlcAGd19jZisTj/8got53gGrgqwPZOBEpDnv3du1J7N4dyszg0kvhhhuSl78uXAgjR+a3zYNBvoLjNuDGxP1HgBeJCA5332BmN3Z+XkRKz549XXsSe/eGMjO47DK48cb0kBgxIq9NHrTyFRwT3T3xR84+oEinwYhIf3MPvYbOVzft2xfKy8pg9my4+eZkSFx5pUJiIOUsOMzseWBSRFHaKvHu7mbWp3VPzGwFsAKgLpdLQopIv3IP4w+dexIHDoTysjKYMwc++clkSCxYADU1+W13qctZcLj7zZnKzGy/mdW6+14zqwUO9PGz1gJrIaxV1Zf3EpHccA9XMnXuSRw8GMrLy2HuXPj0p5MhMX++QqIQ5etU1XpgGbAmcbsuT+0QkRxwD3MiUnsRGzeGuRMQQmLePLjllvSQqK7Ob7slnnwFxxrgcTO7G2gBbgcwswbgXndfnnj8MjAbGG5mu4C73f3ZPLVZRCK4h9nVna9uOnIklFdUwOWXw223JUPiiitg2LD8tlt6Ly/B4e6HgZsinm8Clqc8vn4g2yUi3XMP6zR17kkcTczCqqwMIfHZz6aHxNCh+W239C/NHBeRSO3t8N576T2JjRvho49CeWVlOL2UuuHQ5ZfDkCH5bbfknoJDRGhvD8uCd+5JHD8eyquqQkh88YvpIVFVld92S34oOERKTHt72IUutSexaVMyJIYMCfMiUjccmjtXISFJCg6RQaytLRkSHcemTXDyZCgfOjSExO/8TnpIVFbmt91S2BQcIoNEWxts3dq1J3HqVCgfNixMnrvzzrBEeEdIVOhXQLKkvzIiRejChWRIdBybN0Nrayivrg4h8Xu/l+xJzJ6tkJD+ob9GIgXuwgV4++30QevNm+H06VBeUxMW9LvnnmRPYvbsMMlOJBcUHCIF5Pz59JBobobXX4czZ0L58OEhJDp2pVu8OCwdrpCQgaTgEMmTc+fgrbfSexKvvw5nz4byESNCD+K++5I9iUsvDQv/ieSTgkNkAJw7B2++md6TeOON8DyEzYUWLYKvfz3Zk7jkEoWEFCYFh0g/O3sWtmxJ70ls2ZIMiYsuCsHwzW8mexIXX6yQkOKh4BDpgzNn0kOiuTn0LM6fD+WjRoVgeOCBZE9i5sywY51IsVJwiMR0+nQ4vZTak3jzzXDVE8CYMSEYfv/3kz2JGTMUEjL4KDhEIpw+HQaqU3sSb70VJtkBjB0bguHBB5M9ienTFRJSGhQcUvJaW8O8iNQZ12+/nQyJ8eNDMKRuOlRXp5CQ0qXgkJJy6lQyJDqOd94JC/8BTJgQgiF106GpUxUSIqkUHDJonTwZ1mpKHZPYujUZEpMmhWBI3XRoyhSFhEhPFBwyKJw4kR4Szc2wbVvYsQ6gtjYEQ+qmQ5Mn57fNIsVKwSFF5/jx9L2tN24MS4d3hMTkySEYvvSlZEjU1ua3zSKDiYJDCtqxY+kh0dwM27cny6dODcHQsenQokXhFJSI5I6CQwrG0aPpe1s3N4ftTDtMmxbC4Xd/N9mTmDAhf+0VKVUKDsmLI0e69iR27EiWT58eguGuu5I9ifHj89deEUlScEjOHT6cPh7R3Azvv58sr68P4bB8eTIkxo3LW3NFpAcKDulXhw6l9yKam6GlJVk+cyY0NCT3k1i0KCzVISLFQ8EhvXbgQNeexM6dyfKLL4arrw77SXSExOjR+WuviPQPBYfEsn9/157Erl3J8lmzYMkSuP/+EBILF4aVYUVk8FFwSBd793YNiT17kuWXXgrXX5+8smnhwrDHhIiUBgVHiduzp2tI7N0byszgssvgE59IhsSCBWG3OhEpXQqOEuEOu3enB8TGjbBvXyg3g9mz4aab0kNixIj8tltECo+CYxByD+MPnXsSBw6E8rIymDMHPvnJZEhceSUMH57fdotIcVBwFDn3cCVT557EwYOhvKwM5s6FT30qPSRqavLbbhEpXgqOIuIe5kR0DolDh0J5eTnMm5e+4dD8+VBdnd92i8jgouAoUO5hdnXnkDhyJJRXVISQuPXW9JAYNiy/7RaRwU/BUQDcwzpNnUPi6NFQXlEBV1yRvuHQFVfA0KH5bbeIlCYFxwBrb4f33usaEseOhfLKyhAKn/98ekgMGZLfdouIdFBw5FB7e1gWvHNIHD8eyquqwuml1A2H5s1TSIhIYVNw9JP29rALXWpIbNoUtjSFEAbz58NXvpIeElVV+W23iEi2FBy90NYWHRInT4byoUPDJa933JFc3G/evHAaSkSk2Ck4EhobYdWqMCeirg5Wrw7bkba1wdat6SGxeTOcOhVeN2xYCIlly5I9iTlzFBIiMniZuw/8h5qNAX4I1AMfALe7+9FOdRYA/wcYCbQBq939hz29d0NDgzc1NWXVnsZGWLECWluTz1VUwIwZYZmOjuerq8MyHB0BsWhRCIkKxa+IFDkza3b3hlh1ewoOM/sTd/+Dnp7LsoF/Chxx9zVmthIYHfEZlwLu7tvNbDLQDMxx94+6e+/eBEd9ffpmQx2GDEluOLR4cVjLqbw8q7cWESkK/R0cG919Uafn3nD3+X1o4DbgRnffa2a1wIvuflkPr3kd+Ly7b++uXm+Co6wszKXo+plh0FtEZLDLJjjKunmT/2BmW4DLzOyNlON94I0+tnGiuycW72YfMLG7ymZ2FVAFvJehfIWZNZlZ08GORZqyUFeX3fMiIqWsu7PzPwCeBv4YWJny/Al3P9LTG5vZ88CkiKJVqQ/c3c0sY7cn0SN5FFjm7pH//nf3tcBaCD2OntrW2erVXcc4qqvD8yIiki5jcLj7MeAY8GUzKyf0CiqA4WY23N13Znpt4vU3Zyozs/1mVptyqupAhnojgaeAVe7+y56/Tu8sXRpuo66qEhGRdD1eD2RmXwceBvYDHf/id6DXYxzAemAZsCZxuy7ic6uAJ4G/c/cn+vBZsSxdqqAQEYkjzoWkDwCXufvhfvzcNcDjZnY30ALcDmBmDcC97r488dwNwFgzuzPxujvdfXM/tkNERLIUJzg+JJyy6jeJELop4vkmYHni/t8Df9+fnysiIn0XJzh2AC+a2VPA2Y4n3f2/56xVIiJSsOIEx87EUZU4RESkhPUYHO7+RwBmVu3urT3VFxGRwS3jBMAOZnatmb0NbE08vtLM/nfOWyYiIgWpx+AA/hz4d8BhAHd/nXC1k4iIlKA4wYG7f9jpqbYctEVERIpArMtxzWwJ4GZWCXwTeCe3zRIRkUIVp8dxL/A1YAqwG1iQeCwiIiUozlVVhwAtxiEiIkC8tapmAPcTduv7dX13vzV3zRIRkUIVZ4zjn4G/AX5McpFDEREpUXGC44y7fzfnLRERkaIQJzj+p5l9G/gX0teq2pizVomISMGKExxXAHcAv0n6fhy/matGiYhI4YoTHF8AZrr7uVw3RkRECl+ceRxvAqNy3RARESkOcXoco4CtZvYa6WMcuhxXRKQExQmOb+e8FSIiUjTizBz/2UA0REREikPG4DCzn7v7dWZ2gnAV1a+LAHf3kTlvnYiIFJyMweHu1yVuRwxcc0REpNDF2QHw0TjPiYhIaYhzOe681AdmVgEszk1zRESk0GUMDjN7KDG+Md/MjieOE8B+YN2AtVBERApKxuBw9z9OjG98x91HJo4R7j7W3R8awDaKiEgBiXM57kNmNgWYTvp+HC/lsmEiIlKY4mzktAb4EvA20JZ42gEFh4hICYozc/y3gcvc/WyPNUVEZNCLc1XVDqAy1w0REZHiEKfH0QpsNrMNpC9y+I2ctUpERApWnOBYnzhERERiXVX1iJkNA+rcfdsAtElERApYnCVHfgvYDDyTeLzAzNQDEREpUXEGxx8GrgI+AnD3zcDMHLZJREQKWJzgOO/uxzo9156LxoiISOGLMzj+lpl9BSg3s1nAN4BXc9ssEREpVHF6HPcTVsg9CzwGHAceyGWjRESkcMW5qqoVWAWsMrNyoMbdz+S8ZSIiUpDiXFX1AzMbaWY1wBbgbTN7MPdNExGRQhTnVNVcdz8OfAZ4GpgB3NGXDzWzMWb2nJltT9yOjqgz3cw2mtlmM3vLzO7ty2eKiEj/iBMclWZWSQiO9e5+nrA6bl+sBDa4+yxgQ+JxZ3uBa919AXA1sNLMJvfxc0VEpI/iBMdfAR8ANcBLZjadMEDeF7cBjyTuP0IIpTTufi5lRd4hMdsqIiI51uOPsbt/192nuPun3d2BncAn+vi5E919b+L+PmBiVCUzm2ZmbwAfAn/i7nsy1FthZk1m1nTw4ME+Nk1ERLoTZx5HmkR4XOipnpk9D0yKKFrV+f3MLPLUl7t/SNjzfDLwz2b2hLvvj6i3FlgL0NDQ0NfTaCIi0o2sgyMud785U5mZ7TezWnffa2a1wIEe3muPmb0JXA880c9NFRGRLORr3GA9sCxxfxmwrnMFM5uaWJWXxFVX1wFanVdEJM9i9TjMbAlQn1rf3f+uD5+7BnjczO4GWoDbE5/TANzr7suBOcCfJU5jGfDf3H1LHz5TRET6QY/BYWaPAhcTllZvSzztQK+Dw90PAzdFPN8ELE/cfw6Y39vPEBGR3IjT42ggTALUoLOIiMQa43iT6KujRESkBMXpcYwjrE/1K8IKuQC4+605a5WIiBSsOMHxcK4bISIixSPOsuo/G4iGiIhIcYizrPo1ZvaamZ00s3Nm1mZmfV2rSkREilScwfHvAV8GtgPDCJfL/kUuGyUiIoUr1sxxd38XKHf3Nnf/W+Df57ZZIiJSqOIMjreaWRWw2cz+lLBPhpY4FxEpUXEC4I5Eva8Dp4BpwOdy2SgRESlcca6qakksNljr7n80AG0SEZECFueqqt8irFP1TOLxAjNbn+uGiYhIYYpzquph4CrgIwB33wzMyGGbRESkgMUJjvPufqzTc1rwUESkRMW5quotM/sKUG5ms4BvAK/mtlkiIlKo4vQ47gfmERY4fAw4DjyQy0aJiEjhinNVVSuwKnGIiEiJi7MDYAPwn+m6dax25xMRKUFxxjgagQeBLUB7bpsjIiKFLk5wHHR3zdsQEREgXnB828z+GthA+g6AP8pZq0REpGDFCY67gNlAJclTVQ4oOERESlCc4PiYu1+W85aIiEhRiDOP41Uzm5vzloiISFGI0+O4hrAXx/uEMQ4DXJfjioiUpjjBod3+RETk12LtxzEQDRERkeKgLWBFRCQrCg4REcmKgkNERLKi4BARkawoOEREJCsKDhERyYqCQ0REsqLgEBGRrCg4REQkKwoOERHJioJDRESykpfgMLMxZvacmW1P3I7upu5IM9tlZt8byDaKiEi0fPU4VgIb3H0WYUvald3U/a/ASwPSKhER6VG+guM24JHE/UeAz0RVMrPFwETgXwaoXSIi0oN8BcdEd9+buL+PEA5pzKwM+DPgWz29mZmtMLMmM2s6ePBg71rU2Aj19VBWFm4bG3v3PiIig1ycjZx6xcyeByZFFK1KfeDubmYeUe8+4P+5+y4z6/az3H0tsBagoaEh6r2619gIK1ZAa2t43NISHgMsXZr124mIDGY5Cw53vzlTmZntN7Nad99rZrXAgYhq1wLXm9l9wHCgysxOunt34yG9s2pVMjQ6tLaG5xUcIiJpchYcPVgPLAPWJG7Xda7g7r/+xTazO4GGnIQGwM6d0c+3tMBv/EY4dTV9erjtuD9tGlRV5aQ5IiKFLF/BsQZ43MzuBlqA2wHMrAG4192XD2hr6upCSHRWUwPt7fDCC7B7d7jfwQwmT04PldTbujoYNmyAvoCIyMAx9+yHBApZQ0ODNzU1ZfeizmMcANXVsHZt8lTV+fOwaxd88EEImdTbDz6ADz+Etrb09500KTpUOm5ranr5LUVE+peZNbt7Q5y6+epxFJaOcFi1Kpy2qquD1avTxzcqK2HGjHBEuXAB9uzpGiotLdDcDE8+CefOpb9m3LjMoVJfDyNH9vc3FRHpM/U4Bkp7O+zbF91j6bg9cyb9NaNGRY+vdNyOHh1OmYmI9JF6HIWorCyMiUyeDEuWdC13h4MHk6e+UkPl3Xfh+efh1Kn014wYkbm3Ul8fejQKFhHpZwqOQmEGEyaE46qrupa7w5Ej0eMrLS3w8stw7Fj6a4YN6/5U2MSJIdBERLKg4CgWZjB2bDgWLYqu89FHIUSiToW99hocPpxef8iQMJ6TKVwmT4by8px+LREpPgqOwWTUqHBceWV0+cmTmcdXfvxj2L8/vX5FRZivEjW+Ul8PU6eGOiJSUvR/fSkZPhzmzQtHlNbWcFVZVLg8+yzs3RtOmXUoKwvhETW+0jFJcsiQnH8tERlYCg5Jqq6G2bPDEeXs2TBfJWqc5Wc/C/NcOk+SrK3NfCps+nRNkhQpQgoOiW/IELjkknBEOX8+zLCPOhX2y1/CP/5jmO+SauLE7idJDh+ey28kIr2g4JD+U1mZPFUVpa0t8yTJTZtg3brQq0k1dmz3V4ZddFHuvo+IRFJwyMApLw/jHtOmwXXXdS1vbw8D9FE9lnfegaefhtOn019z0UXdT5IcM0ZzWUT6mYJDCkdZWRgTqa2Fa6/tWu4Ohw5FT5LcsQN++tNw5Viq4cO7nyQ5fryCRSRLCg4pHmbhh378ePjYx7qWu8PRo5knSb7ySpjrkmrYsORAfVS4TJqkSZIinSg4ZPAwC6emxoyBhQuj6xw7lnmSZHNz6NGkqqrqfpLklCmaJCklR8EhpeWii2D+/HBEOXUq8yTJp54KC1WmqqgIc1m6myRZWZnDLyQy8BQcIqlqamDu3HBEOXMmTJKMGmd57rlw1VjnSZJTpmSeJFlXp0mSUnQUHCLZGDoULr00HFHOnUufJJkaLi+/DI891nXDr54mSVZX5/IbiWRNwSHSn6qq4OKLwxHlwoXMkyRfew3+6Z/CRMpUEyZ0P0lyxIhcfiORLhQcIgOpoiLZk4jS1hbWBIsaZ3n9dVi/vuskyTFjup8kOWpULr+RlCAFh0ghKS8PA+pTp8LHP961vL0dDhyI7rFs2xYWo2xtTX/NyJHdT5IcO1ZzWSQrCg6RYlJWFuaWTJoE11zTtdw97LsSNXj/wQfw4otw4kT6a2pqup8kOWGCgkXSKDhEBhOzsGXwuHHQELF9tHtyw6+oYPnFL8IkylRDh3Y/SbK2VpMkS4yCQ6SUmMHo0eFYsCC6zvHjmSdJbtoEBw+m16+s7HmSpDb8GlT0pyki6UaOhCuuCEeUU6eSc1k6h8vTT4fB/VQd4zbdTZKsqsrhF5L+puAQkezU1MCcOeGIcuZMmMsSNc6yYUO4HDl1kqRZz5Mkhw7N9beSLCg4RKR/DR0Ks2aFI8q5c2G3yKhJkq+8Av/wD10nSU6a1P0kyZqaXH4j6UTBISIDq6oKZs4MR5QLF8LSLVGnwpqa4Ec/6jpJcvz47idJjhyZy29UchQcIlJYKirC6am6uujy9vbMkyS3bIGf/CScLks1enTPkyR1yXFsCg4RKS4dC0dOmQJLlnQtd888SXL79rAY5alT6a8ZMaL7SZLjxilYUig4RGRwMYOJE8Nx9dVdy93hyJHMkyRfeilckpyqujrz4H19ffisEgoWBYeIlBazsMzK2LGweHF0nahJkh33//VfQ/CkGjKk50mSg2jDLwWHiEhno0aF48oro8tPnMg8SXLdunCqLFVlJUyblnmcZerUopokWTwtFREpFCNGwOWXhyNKa2vmSZLPPhuuGktVXh7GbDJNkpw2rftJko2NsGpV+My6Oli9GpYu7YcvGk3BISLS36qrYfbscEQ5ezbzJMkXXgiTJNvbk/XNYPLk6HGWN96AP/xDOH061G1pgRUrwv0chYd56gzOQaChocGbmpry3QwRkd47fz7zJMmWlhA6Fy50/x7Tp4f6MZlZs7tHrIzZlXocIiKFprISZswIR5S2tuQkyRtuiK6zc2fOmqfgEBEpNuXlYdxj2rTQs2hp6Von0wTKfqBF9EVEitnq1WFMJVV1dXg+RxQcIiLFbOlSWLs29DzMwu3atYPvqiozGwP8EKgHPgBud/ejEfXagC2Jhzvd/daBaqOISNFYujSnQdFZvnocK4EN7j4L2JB4HOW0uy9IHAoNEZECkK/guA14JHH/EeAzeWqHiIhkKV/BMdHdO/aX3AdMzFBvqJk1mdkvzSxjuJjZikS9poOd90MWEZF+lbMxDjN7HpgUUbQq9YG7u5llmoU43d13m9lM4KdmtsXd3+tcyd3XAmshTADsY9NFRKQbOQsOd785U5mZ7TezWnffa2a1wIGoeu6+O3G7w8xeBBYCXYJDREQGTl6WHDGz7wCH3X2Nma0Exrj7f+pUZzTQ6u5nzWwc8AvgNnd/u4f3PghEzIaJbRxwqA+vFxHJl778fk139/FxKuYrOMYCjwN1hB/52939iJk1APe6+3IzWwL8FdBOGIv5c3f/mwFoW1Pc9VpERArJQP1+DbpFDvtKwSEixWqgfr80c1xERLKi4Ohqbb4bICLSSwPy+6VTVSIikhX1OEREJCsKDhERyUrJBIeZ3Wlmk/PdDhGRzszs1Xy3IRslExzAnUBWwWFm2iFRRHLO3Zf0x/sM1G9WUQeHmf1HM3szcTxgZvVm9mZK+bfM7GEz+zzQADSa2WYzG2ZmnzazrWbWbGbfNbOfJF7zsJk9amavAI8m3vOnZvaGmW0ws7pEve8n3rfjs04mbm80s5fM7Ckz22Zmf2lmRf3fWURyq9Pvx4tm9kTi96nRzCxRVjC/WUX7g2Zmi4G7gKuBa4B7gNFRdd39CaAJWOruCwAnzEr/lLsvBjpPs58L3OzuXwb+F/CIu88HGoHvxmjeVcD9ife5GPhsdt9ORErYQuABwu/HTODjZjaUAvrNKtrgAK4DnnT3U+5+EvgRcH3M184Gdrj7+4nHj3UqX+/upxP3rwV+kLj/aOJze/Ird9/h7m2J947zGhERCL8fu9y9HdhM2Cm1oH6zijk4oowi/TsN7eX7nIpR50LHZyW6dVUpZZ0nx2iyjIjEdTblfhvxVjEf0N+sYg6Ol4HPmFm1mdUAvw08DUwws7FmNgS4JaX+CWBE4v42YKaZ1Scef7Gbz3kV+FLi/tLE50LYK31x4v6tQGXKa64ysxmJP5wvAj/P7quJiKQpqN+sor1qyN03mtn3gV8lnvprd3/NzP5L4rndwNaUl3wf+EszO03oyt0HPGNmp4DXuvmo+4G/NbMHgYOEcRWA/wusM7PXgWdIT/zXgO8BlwAvAE/29nuKiLj7aTMrmN+skl1yxMyGu/vJxBULfwFsd/f/0Q/veyPwLXe/pae6IiJxFdJvVjGfquqre8xsM/AWcBHhigURkUJVML9ZJdvjEBGR3inlHoeIiPSCgkNERLKi4BARkawoOEREJCsKDhERycr/B37edcuO5Yk7AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Convert Orientation to int format\n",
    "dfObama['political_label'] = dfObama['political_label'].replace({'Democrat': -1, 'Republican': 1})\n",
    "dfRomney['political_label'] = dfRomney['political_label'].replace({'Democrat': -1, 'Republican': 1})\n",
    "\n",
    "dfObamaDayDemRep = dfObama.groupby([dfObama['political_label']==-1]).mean()\n",
    "dfRomneyDayDemRep = dfRomney.groupby([dfRomney['political_label']==1]).mean()\n",
    "plt.plot(dfObamaDayDemRep.sentiment_label,'bo-')\n",
    "plt.plot(dfRomneyDayDemRep.sentiment_label,'ro-')\n",
    "plt.ylabel(\"mean sentiment\")\n",
    "plt.xticks([0,1],['outgroup','ingroup'])"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
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