sentiment_analysis+vz_biden_trump_2020.ipynb

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   },
   "source": [
    "## Sentiment analysis"
   ]
  },
  {
   "cell_type": "code",
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   "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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   },
   "outputs": [],
   "source": [
    "!pip install transformers"
   ]
  },
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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-election2020-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
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    "outputId": "76b7d126-0f20-4267-fe96-1d689bdeb377"
   },
   "outputs": [],
   "source": [
    "''' for google drive'''\n",
    "df_trp_twt_clean = pd.read_csv('/content/drive/MyDrive/Trump_twts_2020.csv')\n",
    "df_bd_twt_clean = pd.read_csv('/content/drive/MyDrive/Biden_twts_2020.csv')\n",
    "\n",
    "'''df_trp_twt_clean = pd.read_csv('trump_twts_2016.csv')\n",
    "df_bd_twt_clean = pd.read_csv('Biden_twts_2016.csv')'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9f06bd11-44ad-408f-bfc5-a4e4ca7eb281",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "9f06bd11-44ad-408f-bfc5-a4e4ca7eb281",
    "outputId": "97fff882-762e-41a9-f44a-43844e5ea7df"
   },
   "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 4min 39s, sys: 1.11 s, total: 4min 40s\n",
      "Wall time: 4min 47s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_trp_twt_clean['poli_sentiment'] =  df_trp_twt_clean.text.apply(poli_sentiment_classifier)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "mPiyM0GEdqXW",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "mPiyM0GEdqXW",
    "outputId": "f3905938-0592-403d-c500-0579c81db773"
   },
   "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 23min 25s, sys: 5.31 s, total: 23min 30s\n",
      "Wall time: 23min 32s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_bd_twt_clean['poli_sentiment'] =  df_bd_twt_clean.text.apply(poli_sentiment_classifier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2579f5fb-1db3-429c-8b4a-e399e0afc273",
   "metadata": {
    "id": "35eabfb9-4ca3-42a6-a199-05f313b6c4ee"
   },
   "outputs": [],
   "source": [
    "df_trp_twt_clean['political_label'] = [li[0]['label'] for li in df_trp_twt_clean['poli_sentiment']]\n",
    "df_bd_twt_clean['political_label'] = [li[0]['label'] for li in df_bd_twt_clean['poli_sentiment']]\n",
    "df_trp_twt_clean['political_score'] = [li[0]['score'] for li in df_trp_twt_clean['poli_sentiment']]\n",
    "df_bd_twt_clean['political_score'] = [li[0]['score'] for li in df_bd_twt_clean['poli_sentiment']]\n",
    "df_trp_twt_clean = df_trp_twt_clean.drop(columns=['poli_sentiment'])\n",
    "df_bd_twt_clean = df_bd_twt_clean.drop(columns=['poli_sentiment'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7629d6b6-9687-4b71-acfb-926c466d589a",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "7629d6b6-9687-4b71-acfb-926c466d589a",
    "outputId": "cac70107-a8d8-465f-e5e2-31c8d5daa3a7"
   },
   "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 4min 17s, sys: 1.04 s, total: 4min 18s\n",
      "Wall time: 4min 18s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_trp_twt_clean['sentiment'] =  df_trp_twt_clean.text.apply(sentiment_classifier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0c254c3-ab42-4313-b54a-5230ab30a4fc",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "a0c254c3-ab42-4313-b54a-5230ab30a4fc",
    "outputId": "d55bed7a-70a6-4d10-d64d-e4d456c77d4d"
   },
   "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 22min 55s, sys: 5.01 s, total: 23min\n",
      "Wall time: 22min 58s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_bd_twt_clean['sentiment'] =  df_bd_twt_clean.text.apply(sentiment_classifier)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "880fa2c6-e677-42a3-a507-3fdca4618925",
   "metadata": {
    "id": "880fa2c6-e677-42a3-a507-3fdca4618925"
   },
   "outputs": [],
   "source": [
    "df_trp_twt_clean['sentiment_label'] = [li[0]['label'] for li in df_trp_twt_clean['sentiment']]\n",
    "df_bd_twt_clean['sentiment_label'] = [li[0]['label'] for li in df_bd_twt_clean['sentiment']]\n",
    "df_trp_twt_clean['sentiment_score'] = [li[0]['score'] for li in df_trp_twt_clean['sentiment']]\n",
    "df_bd_twt_clean['sentiment_score'] = [li[0]['score'] for li in df_bd_twt_clean['sentiment']]\n",
    "df_trp_twt_clean = df_trp_twt_clean.drop(columns=['sentiment'])\n",
    "df_bd_twt_clean = df_bd_twt_clean.drop(columns=['sentiment'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66e812f9-e264-4bb3-99a2-207c528c6745",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "66e812f9-e264-4bb3-99a2-207c528c6745",
    "outputId": "39e1ecab-5381-404b-e37a-d187839e21f0"
   },
   "outputs": [],
   "source": [
    "df_trp_twt_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "sNhcyVfieva9",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 36
    },
    "id": "sNhcyVfieva9",
    "outputId": "63342460-b753-4a1c-efa5-ff3cbc6625d1"
   },
   "outputs": [],
   "source": [
    "''' for colab'''\n",
    "df_trp_twt_clean.to_csv('/content/drive/MyDrive/Trump_twts_2020_classified_senti+poli.csv')\n",
    "df_bd_twt_clean.to_csv('/content/drive/MyDrive/Biden_twts_2020_classified_senti+poli.csv')\n",
    "\n",
    "'''local GPU\n",
    "df_trp_twt_clean.to_csv('trump_twts_2016_classified_senti.csv')\n",
    "df_bd_twt_clean.to_csv('Biden_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": null,
   "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": 219
    },
    "id": "183ae744-224c-4a2f-90e5-fcb5f96cc088",
    "outputId": "27e9ff32-ae9b-4124-fb93-fc8c36b56683"
   },
   "outputs": [],
   "source": [
    "dfTrump = pd.read_csv('/content/drive/MyDrive/Trump_twts_2020_classified_senti+poli.csv', parse_dates=['time'])\n",
    "dfTrump.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": "411e2630-515f-479f-8935-1b7a9a1ae16b"
   },
   "outputs": [],
   "source": [
    "dfBiden = pd.read_csv('/content/drive/MyDrive/Biden_twts_2020_classified_senti+poli.csv',  parse_dates=['time'])\n",
    "dfBiden.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "38b8747b-12d0-4ee4-acd5-a9550efa2e90",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "38b8747b-12d0-4ee4-acd5-a9550efa2e90",
    "outputId": "b2f87721-4098-484e-fd7d-3db0397cd71a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NEGATIVE    35078\n",
       "POSITIVE    13450\n",
       "Name: sentiment_label, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfTrump['sentiment_label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d55cffa3-4b95-4ccd-a175-88479fe1d196",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "d55cffa3-4b95-4ccd-a175-88479fe1d196",
    "outputId": "c8da1c4e-6744-41b0-ba16-6eb71bdd34a3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NEGATIVE    184818\n",
       "POSITIVE     77570\n",
       "Name: sentiment_label, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfBiden['sentiment_label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d478cc6-2e83-42ad-a80e-5b3d765696f3",
   "metadata": {
    "id": "7d478cc6-2e83-42ad-a80e-5b3d765696f3"
   },
   "outputs": [],
   "source": [
    "dfBidenSentiDay = dfBiden.groupby([dfBiden['time'].dt.date, 'sentiment_label', 'political_label'])['sentiment_label'].count().reset_index(name='counts')\n",
    "dfTrumpSentiDay = dfTrump.groupby([dfTrump['time'].dt.date, 'sentiment_label', 'political_label'])['sentiment_label'].count().reset_index(name='counts')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": null,
   "id": "93a97e50-6a1c-49d2-ad1a-14be441c94ad",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 225
    },
    "id": "93a97e50-6a1c-49d2-ad1a-14be441c94ad",
    "outputId": "51bd246b-384e-4c3b-9810-db03f70c6667"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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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",
    "    dfBiden, \n",
    "    [repred, repgreen],\n",
    "    \"Sentiment in tweets concerning Biden only\",\n",
    ")\n",
    "\n",
    "plot_kde(\n",
    "    axes[1], \n",
    "    dfTrump, \n",
    "    [demblue, demorange],\n",
    "    \"Sentiment in tweets concerning Trump only\",\n",
    ")\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": null,
   "id": "3c77f84d-e31f-459d-8501-4aa1b1576121",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 585
    },
    "id": "3c77f84d-e31f-459d-8501-4aa1b1576121",
    "outputId": "01a8ed07-3864-4156-f094-d4b5a54a7549"
   },
   "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",
    "    dfBiden, \n",
    "    [demblue, demorange],\n",
    "    \"Sentiment in tweets concerning Biden only\",\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[1], \n",
    "    dfTrump, \n",
    "    [repred, repgreen],\n",
    "    \"Sentiment in tweets concerning Trump only\",\n",
    ")\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26390373-9a3d-4679-a280-42e62d140057",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 729
    },
    "id": "26390373-9a3d-4679-a280-42e62d140057",
    "outputId": "461f569a-6952-49c2-99f5-ad8fbc3d5c40"
   },
   "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",
    "    dfBiden[dfBiden[\"political_label\"] == \"Democrat\"], \n",
    "    [demblue, demorange],\n",
    "    \"Democrat's view: Sentiment in tweets concerning Biden only\",\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[0][1], \n",
    "    dfBiden[dfBiden[\"political_label\"] == \"Republican\"], \n",
    "    [repred, repgreen],\n",
    "    \"Republican's view: Sentiment in tweets concerning Biden only\",\n",
    "    #legend=True\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[1][0], \n",
    "    dfTrump[dfTrump[\"political_label\"] == \"Democrat\"], \n",
    "    [demblue, demorange],\n",
    "    \"Democrat's view: Sentiment in tweets concerning Trump only\",\n",
    "    legend=True\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[1][1], \n",
    "    dfTrump[dfTrump[\"political_label\"] == \"Republican\"], \n",
    "    [repred, repgreen],\n",
    "    \"Republican's view: Sentiment in tweets concerning Trump only\",\n",
    "    legend=True\n",
    ")\n",
    "\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "445e6e32-846b-4f2b-96f5-5c8f0db5acf9",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 729
    },
    "id": "445e6e32-846b-4f2b-96f5-5c8f0db5acf9",
    "outputId": "3fd9c4dc-2052-4291-b8f2-26267814619d"
   },
   "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 Biden?\n",
    "fig, axes = plt.subplots(2, 2, figsize=(20, 10),sharey=True)\n",
    "plot_histogram(\n",
    "    axes[0][0], \n",
    "    dfBiden[dfBiden[\"sentiment_label\"] == \"NEGATIVE\"], \n",
    "    [repred, demblue],\n",
    "    \"Who says more NEGATIVE things about Biden\",\n",
    "    hue=\"political_label\",\n",
    "    hue_order=[\"Republican\", \"Democrat\"]\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[0][1], \n",
    "    dfBiden[dfBiden[\"sentiment_label\"] == \"POSITIVE\"], \n",
    "    [repred, demblue],\n",
    "    \"Who says more POSITIVE things about Biden\",\n",
    "    hue=\"political_label\",\n",
    "    hue_order=[\"Republican\", \"Democrat\"]\n",
    "    #legend=True\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[1][0], \n",
    "    dfTrump[dfTrump[\"sentiment_label\"] == \"NEGATIVE\"], \n",
    "    [repred, demblue],\n",
    "    \"Who says more NEGATIVE things about Trump\",\n",
    "    legend=True,\n",
    "    hue=\"political_label\",\n",
    "    hue_order=[\"Republican\", \"Democrat\"]\n",
    ")\n",
    "\n",
    "plot_histogram(\n",
    "    axes[1][1], \n",
    "    dfTrump[dfTrump[\"sentiment_label\"] == \"POSITIVE\"], \n",
    "    [repred, demblue],\n",
    "    \"Who says more POSITIVE things about Trump\",\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": null,
   "id": "GcZD9h6BHOYb",
   "metadata": {
    "id": "GcZD9h6BHOYb"
   },
   "outputs": [],
   "source": [
    "dfTrump = pd.read_csv('/content/drive/MyDrive/Trump_twts_2020_classified_senti+poli.csv', parse_dates=['time'])\n",
    "dfBiden = pd.read_csv('/content/drive/MyDrive/Biden_twts_2020_classified_senti+poli.csv',  parse_dates=['time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bfe5eea0-11e3-4039-ab7d-11a60c335ab0",
   "metadata": {
    "id": "bfe5eea0-11e3-4039-ab7d-11a60c335ab0"
   },
   "outputs": [],
   "source": [
    "# Convert sentiment to int format\n",
    "dfBiden['sentiment_label'] = dfBiden['sentiment_label'].replace({'POSITIVE': 1, 'NEGATIVE': -1})\n",
    "dfTrump['sentiment_label'] = dfTrump['sentiment_label'].replace({'POSITIVE': 1, 'NEGATIVE': -1})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8684105f-4829-413c-9448-9958c9da3d43",
   "metadata": {
    "id": "8684105f-4829-413c-9448-9958c9da3d43"
   },
   "outputs": [],
   "source": [
    "#Average of sentiment values for each day\n",
    "dfBidenDay = dfBiden.groupby([dfBiden['time'].dt.date]).mean()\n",
    "dfTrumpDay = dfTrump.groupby([dfTrump['time'].dt.date]).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "73b7f614-dc0f-4e23-b631-e7aa45e64243",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "id": "73b7f614-dc0f-4e23-b631-e7aa45e64243",
    "outputId": "cae79925-9956-4b01-da5e-146890d1b51d"
   },
   "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(dfBidenDay.sentiment_label,'bo-')\n",
    "plt.plot(dfTrumpDay.sentiment_label,'ro-')\n",
    "plt.axvline(pd.Timestamp('2020-10-02'),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": null,
   "id": "c49288fe-3c87-438f-a129-370f2e427710",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 282
    },
    "id": "c49288fe-3c87-438f-a129-370f2e427710",
    "outputId": "8941bcdd-3a16-43b8-b9d1-163ab0b341b3"
   },
   "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(dfBidenDay.sentiment_label.rolling(window_size).mean(),'bo-')\n",
    "plt.plot(dfTrumpDay.sentiment_label.rolling(window_size).mean(),'ro-')\n",
    "plt.axvline(pd.Timestamp('2020-10-02'),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": null,
   "id": "75b8a977-ef67-4ca6-867e-808fefc9cc0d",
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 317
    },
    "id": "75b8a977-ef67-4ca6-867e-808fefc9cc0d",
    "outputId": "7b3af1e1-6f3e-4fe3-97c7-72492c738367"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x7fc57cb0b610>,\n",
       "  <matplotlib.axis.XTick at 0x7fc57cb0b5d0>],\n",
       " [Text(0, 0, 'outgroup'), Text(0, 0, 'ingroup')])"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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gNTav5fVJDeITkRisXQs33gh33glt2sDYsdCn3KB9kS2TTELZlzCK6nA2Xw/l8HQFJSKp9/bboa9kzpxQ1PGOO6BFuRoVIlsumYTyf8Bu7r4+3cGISOqtWgXXXQcPPQS77goTJ8IRR8QdldRHyQwKnAHskO5ARCT1Xn4ZunQJ67tfdhlMn65kIumTTAtlB2C2mX3M5n0oNRk2LCJp9N13cPnlMGpUmPE+eTIceGDcUUl9l0xCuSHtUYhISrjDM8/AxRfDihVw/fWhoOPWW8cdmWSDZGbKv1UbgYhIzSxeDBdeCOPGQffuoa+ka9e4o5JsUmEfipm9G73/aGarSr1+NLNVtReiiFTGHR59NDzaevXVMHrrgw+UTKT2VdhCcfdDo3ct9yuSoebNg3PPhTfegF//GoYPh913jzsqyVbJrNg4Kpl9IlJ7Nm2Ce+8NFYE//hiGDQtJRclE4pRMp/w+pT9ExRm7pyccEanKzJlhYuKHH8Jxx4VkstNOcUclUnkfynVm9iPQtXT/CbCUBNWBRSS91q8PhRz32w/mzoXRo+GFF5RMJHNU1odyG3Cbmd3m7tfVYkwiUsbHH4dWyfTpcOqpoZij1ouTTJPMsOHrzKwDsAubr4fydjoDExFYswZuuAHuvhvatQtDgk/QlGLJUMkssDUYOBWYBWyKdjughCKSRpMmhRFcc+dC//5h7ZLtt487KpGKJdMp/ztgT3dfV+WZIlJjK1eGddwffhh+8Ysweus3v4k7KpGqJVMcch7QKN2BiAhMmAD77AOPPAJXXgmffaZkInVHMi2UNcA0M8tn8+KQl6YtKpEss3x5qAb85JOhOvBzz0GPHnFHJVI9ySSU8dFLRFLMHf71L7j00vCoa9CgsHZJ48ZxRyZSfcmM8hphZtsAHd39i1qISSQrfPMNXHABvPhiaI08+mhonYjUVcmUXvlfYBrwSvS5m5mpxSKyhYqKIC8v9JXk54chwZMnK5lI3ZdMp/wgoAfwA4C7TwN2S2NMIvXW3LlhxcTzzgsl5qdPDwthNWwYd2QiNZdMQtng7ivL7CtKRzAi9dXGjXDXXaGk/CefhFFc+flhWLBIfZFMQplpZn8CGprZHmb2ADC5pjc2s5Zm9rqZzYneW1RybnMz+8bMHiy1r7uZTTezuWZ2v5lZTWMSSYfp0+Hgg+Gqq6B3b5g1C845B/S/WKlvkkkolxAqDq8DngJWAZel4N4DgHx33wPIjz5X5GbKz8z/B3AusEf0OiYFMYmkzLp1oWzK/vvD/PlhNNe4cdChQ9yRiaRHlQnF3de4+0B3PwDoCQxx959TcO8TgRHR9gigT6KTzKw70BZ4rdS+HKC5u3/g7g6MrOh6kTh8+GHoI7npplDMcdYs+MMf1CqR+i2ZUV5PRo+ctgWmA7PM7OoU3LutuxdG20sISaPsvRsAdwFXlTnUAfim1Odvon3lmFl/Mysws4Lly5fXPGqRSvz0E1xxBRx0UJhX8uKLMGoUtG4dd2Qi6ZfMI6/O7r6K0AJ4GdgVOC2ZLzeziWY2I8HrxNLnRa0MT/AVFwIvufs3CY4lxd3z3D3X3XPbqN63pNEbb4RO93vugfPPDwthHXdc3FGJ1J5kZso3MrNGhITyoLtvMLNEP/7luHvvio6Z2VIzy3H3wugR1rIEpx0E9DKzC4HtgMZmthq4Dyi9rNBOwKJkYhJJtR9+gKuvLlnPfdKksL67SLZJpoXyMDAf2BZ428x2IXTM19R4oF+03Y8Eq0C6e1937+junQiPvUa6+4DoUdkqMzswGt11eqLrRdJt3Djo3BkeewyuuSYUc1QykWyVTKf8/e7ewd2PjR5NLQRSUf90MHCkmc0BekefMbNcMxuexPUXAsOBucBXhMdxIrVi2bLQ2d6nT1g58cMPYcgQ2GabuCMTKWX0aOjUCRo0CO+jR6f1dhZyRHbIzc31goKCuMOQOsw9/H/y//0/WL0arr8+rF3SSAs8SKYZPTqs0LZ2bcm+pk1D3Z++fav1VWY2xd1zqzovmT4UEQG+/jp0tr/0Ehx4YCjm2Llz3FFJVlq/HgoLYfHi8Fq0qGS7+PMXX4R/AZW2Zg0MHFjthJIsJRSRKhQVhdUTr70WNm2Ce++Fiy9W/S1Jg02bwvPUssmh9OfFi8MCOmU1agTt24fXPvvA7NmJ77FwYdrCTyqhmNnBQKfS57v7yDTFJJIxvvwylEl5551QNiUvD3bdNe6opM5xhxUrKm5NFG8vWRKSSmlm0LZtKLHQsWNoHrdvHz4XJ5D27aFVq9BXUqxTJ1iwoHwsHTum7c+sMqGY2SjgF4QS9sV/afHsdJF6aePGUFb+hhugSZMwiuuMMzTTXRJYvbryR0/F2+vWlb+2ZcuS5NClS0lyKJ0s2raFrbbgYdKtt0L//uExV7GmTcP+NEkmylzC5Mbs6b2XrPbpp3DWWaEq8O9+B0OHQk5O3FFJrVu3bvN+iooSxo8/lr92221LksJBB5VvTXToEP5H1aRJ+uIv7icZODA85urYMSSTNPWfQHIJZQbQDiis6kSRumzdOrjlFhg8OPzD8Zln4KST1Cqpd4r7KSprTSxeDN9+W/7axo1LkkKXLnDUUYmTRbNmtf93JdK3b1oTSFnJJJTWhPpdHxEqDgPg7iekLSqRWvb++3D22fD553D66eFxV6tWcUcl1eIO339fcUd28b4lS8JIi9IaNCjpp+jUKaw3UFE/hf6FUaFkEsqgdAchEpfVq+Gvf4X774edd4aXX4ZjtBBC5vnxx6ofPS1eHIbTltWqVUly6Nq1fGuifXvYccct66eQzVT5n6C7v1UbgYjUttdfD32W8+fDRRfBbbdlzpOKrLFuXcUtidKvRP0UzZqVJIZDDkn86Kldu/T2U8hmkhnldSDwALA30BhoCPzk7s3THJtIWqxYAVdeCY8/Dv/zP/D229CrV9xR1TMbNybXT/Hdd+Wv3XrrkqTQtWtoMpZNFu3bK/tnoGTaeA8CpwLPEEZ8nQ78TzqDEkmXsWPhwgvDvLDrroO//U3/gK0W95AEqnr0tHRp4n6Kdu1CMthtNzj00MTDZFu2VD9FHZXUQ0N3n2tmDd19E/C4mU0FrktvaCKps2QJXHIJjBkD3brBhAlhaV4pZdWqqvspCgsT91O0bl2SELp1q7ifQuUF6rVkEsoaM2sMTDOz2wnDh5Mpey8SO3cYORIuvzzM7/r73+Gqq7KsmOPPP5fvk0iUMFavLn9t8+YliaFXr8Qjn3JywmMqyXrJJJTTCAnkYuByYGfgpHQGJZIKCxbAeefBq6+GUaCPPgp77RV3VCm0cWN4tFTVDO3vvy9/bXE/RYcOoUVx7LHlk0VOjvoppFqSGeW1wMy2AXLc/cZaiEmkRoqK4KGHYMCA8PmBB0K/SYO60q4uKqq8n6J439Kl5avJNmxY0k+x++7wq18lfvzUooX6KSTlkhnl9b/AnYQRXruaWTfgJk1slEz0xRdhguJ778HRR4cqwbvsEndUEfcw/LWqkU+LF8OGDeWvb9Nm836KRMNk27RRP4XEJtmJjT2ASQDuPs3MVG9VMsqGDXDnnXDjjaH+3RNPhBnvtfaP8LVrQ4d1Vcnip5/KX9u8eUlyKG5RlE0W7dqpn0IyXjIJZYO7r7TN/5+pQpGSMaZODa2SqVPh5JPDI6527VL05Rs2VNxPUXrfihXlr23SpCQh7L8/HH98+UdPOTmw3XYpClYkXskklJlm9iegoZntAVwKTE5vWCJV+/lnuOkmuP32MGr12Wfh979P8uKiolD8r6phssuWJe6nyMkJCWGPPeCwwxL3U+ywg/opJKskk1AuAQYSCkM+BbwK3JzOoESq8u67oVXy5Zdw5plw112hnxn3MJ+iqkdPhYWJ+yl23HHzVkWiGdrqpxBJyLJpmZPc3FwvKCiIOwzZUmvWsHpOIY/cuJgPxy5inxaLOe3wxXRqXCZhlF5QqNj22ydODqX3tWsXypOLyGbMbIq751Z1XjKjvHKBv1B+CeCuNQlQ5L82bAhT2asq5/HDD2xHmAwFwApgQpOSpJCbmzhZ5OSEBY9EJK2SeeQ1GrgamA4UVXGuSImiolA0q6oZ2on6Kbba6r/9FOt33ZO3Nh3OGz+0x3Pac9o17dnnyChhbL+9+ilEMkQyCWW5u49PeyRSd7jDypVVz9AuLAyzucvaccfyrYqyj6PatIEGDRgzJpSW//57uHZgWLtExRxFMlMyCeUGMxsO5LP5io3PbelNzawl8G/CY7T5wCnunmDcJZhZc2AW8Ly7XxztmwTkAGuj045y92VbGo+UsmZN1TO0Fy8O8y7K2mGHkuSw116JHz+1a5dUIa3CwpBIxo4NfeOvvhrm8olI5komoZwJ7AU0ouSRlwNbnFCAAUC+uw82swHR52srOPdm4O0E+/u6u3rYk7VhQ/iVrmqY7MqV5a/dZpuShHDAAYlnaOfkhBmFNeQeJiVecUXIWYMHh7VLtJieSOZL5v+mB7j7nim+74nAYdH2CMIs/HIJxcy6A22BVwhrsUhZxf0UVQ2TXZagAbfVViVJYa+94PDDE4+EqqV+iv/8J6ygOHFiKGw7fHhYAEtE6oZkEspkM+vs7rNSeN+27l4YbS8hJI3NmFkD4C7gz0DvBN/xuJltAp4FbvEKxj+bWX+gP0DHjh1TEHotcYcffqj60dOSJeX7KcxK5lPstBP06JF4mGzr1hlRMXHTJhg6NCx41aBBKOx43nkZEZqIVEMyCeVAwloo/yH0oRjgVQ0bNrOJQKICGANLf3B3N7NEyeBC4CV3/8bK/+u4r7svMrNmhIRyGjAyURzungfkQZiHUlnMteann6p+9LR4cZgKXlaLFiUJoXPnxP0UbdvWmQU/Pv88TFB8/3347W9h2DCoS3lfREokk1CO2ZIvdvdErQoAzGypmeW4e6GZ5QCJOtQPAnqZ2YXAdkBjM1vt7gPcfVF0jx/N7ElC8cqECaXGRo+GgQNh4cLwS3frrdC3b+Jz169Prp9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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Convert Orientation to int format\n",
    "dfBiden['political_label'] = dfBiden['political_label'].replace({'Democrat': -1, 'Republican': 1})\n",
    "dfTrump['political_label'] = dfTrump['political_label'].replace({'Democrat': -1, 'Republican': 1})\n",
    "\n",
    "dfBidenDayDemRep = dfBiden.groupby([dfBiden['political_label']==-1]).mean()\n",
    "dfTrumpDayDemRep = dfTrump.groupby([dfTrump['political_label']==1]).mean()\n",
    "plt.plot(dfBidenDayDemRep.sentiment_label,'bo-')\n",
    "plt.plot(dfTrumpDayDemRep.sentiment_label,'ro-')\n",
    "plt.ylabel(\"mean sentiment\")\n",
    "plt.xticks([0,1],['outgroup','ingroup'])"
   ]
  }
 ],
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