liwc.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LIWC\n",
    "\n",
    "Analyze letters with LIWC (Linguistic Inquiry and Word Count) (Pennebaker et al., 2007)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "import sys\n",
    "\n",
    "from IPython.display import clear_output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def squeal(text=None):\n",
    "    clear_output(wait=True)\n",
    "    if not text is None: print(text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Read files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "FILE_DIR = \"../letters/\"\n",
    "\n",
    "def read_file(in_file_id):\n",
    "    try:\n",
    "        in_file = open(f\"{FILE_DIR}{in_file_id}.txt\", \"r\")\n",
    "    except:\n",
    "        sys.exit(f\"cannot open {FILE_DIR}{in_file_id}.txt\")\n",
    "    text = \"\"\n",
    "    for line in in_file:\n",
    "        text += line.strip() + \" \"\n",
    "    in_file.close()\n",
    "    return text.strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_all_texts(file_dir):\n",
    "    file_names = sorted(os.listdir(file_dir))\n",
    "    texts = []\n",
    "    for file_name in file_names:\n",
    "        if re.search(r\"\\.txt$\", file_name):\n",
    "            letter_id = re.sub(r\"\\.txt$\", \"\", file_name)\n",
    "            squeal(letter_id)\n",
    "            text = read_file(letter_id)\n",
    "            texts.append(text)\n",
    "    return texts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "21\n"
     ]
    }
   ],
   "source": [
    "texts = read_all_texts(FILE_DIR)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. LIWC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "sys.path.append(\"/home/erikt/projects/e-mental-health/data-processing/\")\n",
    "import tactus2liwc_nl as liwc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "LIWCDIR = \"/home/erikt/projects/e-mental-health/liwc/\"\n",
    "LIWCFILE = \"Dutch_LIWC2015_Dictionary.dic\"\n",
    "\n",
    "def apply_liwc_to_texts(texts):\n",
    "    liwc_feature_names, liwc_words, liwc_prefixes = liwc.readLiwcDict(LIWCDIR+LIWCFILE)\n",
    "    liwc_results = []\n",
    "    for text in texts:\n",
    "        text_tokens, _text_nbr_of_sents = liwc.tokenize(text)\n",
    "        text_results = liwc.text2liwc(liwc_words, liwc_prefixes, text_tokens)\n",
    "        liwc_results.append(text_results)\n",
    "    return liwc_results, liwc_feature_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def liwc_result_to_freqs(liwc_result, liwc_feature_names):\n",
    "    liwc_freqs = {}\n",
    "    for key in liwc_feature_names:\n",
    "        if key not in liwc_result:\n",
    "            liwc_freqs[key] = 0\n",
    "        else:\n",
    "            liwc_freqs[key] = liwc_result[key] / liwc_result['NBROFMATCHES']\n",
    "    return liwc_freqs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def show_liwc_graph(liwc_freqs, text_id):\n",
    "    x = [ int(key) for key in sorted(liwc_freqs.keys(), key=lambda key:int(key)) ] \n",
    "    y = [ liwc_freqs[key] for key in sorted(liwc_freqs.keys(), key=lambda key:int(key)) ]\n",
    "    plt.figure(figsize=(6,2))\n",
    "    plt.bar(x, y)\n",
    "    plt.title(f\"text {text_id}\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "def show_liwc_top(liwc_freqs, average_freqs, n=10):\n",
    "    x = [ int(key) for key in sorted(liwc_freqs.keys(), key=lambda key:liwc_freqs[key], reverse=True) ]\n",
    "    y = [ liwc_freqs[key] for key in sorted(liwc_freqs.keys(), key=lambda key:liwc_freqs[key], reverse=True) ]\n",
    "    z = [ average_freqs[key] for key in sorted(liwc_freqs.keys(), key=lambda key:liwc_freqs[key], reverse=True) ]\n",
    "    z = [ y[i] - z[i] for i in range(0, len(z)) ]\n",
    "    x = [ x[i] for i in sorted(range(0, len(z)), key=lambda k:z[k], reverse=True)]\n",
    "    y = [ y[i] for i in sorted(range(0, len(z)), key=lambda k:z[k], reverse=True)]\n",
    "    z = [ z[i] for i in sorted(range(0, len(z)), key=lambda k:z[k], reverse=True)]\n",
    "    \n",
    "    for i in range(0, n):\n",
    "        print(f\"{i+1:2}. {y[i]:0.2f} {z[i]:5.2f} {liwc_feature_names[str(x[i])]}\")\n",
    "    print(\"\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_average_freqs(liwc_result, liwc_feature_names):\n",
    "    freqs_lists = []\n",
    "    for liwc_result in liwc_results:\n",
    "        freqs_lists.append(liwc_result_to_freqs(liwc_result, liwc_feature_names))\n",
    "    average_freqs = {}\n",
    "    for liwc_feature_name in liwc_feature_names:\n",
    "        total_freq = 0\n",
    "        for freqs_list in freqs_lists:\n",
    "            if liwc_feature_name in freqs_list:\n",
    "                total_freq += freqs_list[liwc_feature_name]\n",
    "        average_freqs[liwc_feature_name] = total_freq / len(freqs_lists)\n",
    "    return average_freqs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "N = 10\n",
    "\n",
    "def show_results(liwc_results, liwc_feature_names, n=N):\n",
    "    text_id = 0\n",
    "    average_freqs = compute_average_freqs(liwc_results, liwc_feature_names)\n",
    "    for liwc_result in liwc_results:\n",
    "        text_id += 1\n",
    "        liwc_freqs = liwc_result_to_freqs(liwc_result, liwc_feature_names)\n",
    "        show_liwc_graph(liwc_freqs, text_id)\n",
    "        show_liwc_top(liwc_freqs, average_freqs, n=n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.25  0.06 relativ\n",
      " 2. 0.06  0.04 i\n",
      " 3. 0.13  0.03 space\n",
      " 4. 0.06  0.02 quant\n",
      " 5. 0.06  0.02 motion\n",
      " 6. 0.08  0.02 time\n",
      " 7. 0.04  0.01 work\n",
      " 8. 0.18  0.01 focuspresent\n",
      " 9. 0.21  0.01 verb\n",
      "10. 0.03  0.01 male\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.13  0.05 drives\n",
      " 2. 0.08  0.04 affiliation\n",
      " 3. 0.05  0.03 we\n",
      " 4. 0.19  0.02 prep\n",
      " 5. 0.05  0.02 posemo\n",
      " 6. 0.07  0.02 affect\n",
      " 7. 0.12  0.02 social\n",
      " 8. 0.11  0.01 space\n",
      " 9. 0.01  0.01 friend\n",
      "10. 0.66  0.01 function\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.12  0.04 focuspast\n",
      " 2. 0.07  0.04 motion\n",
      " 3. 0.23  0.04 relativ\n",
      " 4. 0.05  0.02 focusfuture\n",
      " 5. 0.09  0.02 time\n",
      " 6. 0.22  0.02 verb\n",
      " 7. 0.12  0.02 number\n",
      " 8. 0.02  0.02 netspeak\n",
      " 9. 0.05  0.02 insight\n",
      "10. 0.05  0.01 informal\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.09  0.06 we\n",
      " 2. 0.09  0.05 affiliation\n",
      " 3. 0.12  0.04 drives\n",
      " 4. 0.69  0.04 function\n",
      " 5. 0.13  0.03 article\n",
      " 6. 0.20  0.03 pronoun\n",
      " 7. 0.10  0.03 ppron\n",
      " 8. 0.11  0.03 focuspast\n",
      " 9. 0.17  0.02 cogproc\n",
      "10. 0.11  0.02 space\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.23  0.06 pronoun\n",
      " 2. 0.17  0.03 cogproc\n",
      " 3. 0.13  0.03 social\n",
      " 4. 0.10  0.03 focuspast\n",
      " 5. 0.03  0.02 you\n",
      " 6. 0.67  0.02 function\n",
      " 7. 0.04  0.02 percept\n",
      " 8. 0.05  0.02 motion\n",
      " 9. 0.12  0.02 adj\n",
      "10. 0.11  0.02 conj\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.16  0.06 number\n",
      " 2. 0.12  0.03 conj\n",
      " 3. 0.12  0.03 space\n",
      " 4. 0.10  0.02 drives\n",
      " 5. 0.19  0.02 prep\n",
      " 6. 0.19  0.02 focuspresent\n",
      " 7. 0.21  0.02 relativ\n",
      " 8. 0.03  0.01 negate\n",
      " 9. 0.04  0.01 work\n",
      "10. 0.02  0.01 home\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAACcCAYAAABvA1AIAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAANoUlEQVR4nO3dfYxld13H8feHXQvyEAp0IbAPnSVdaNYKgmspgtpACVuKuyYCLuGhYmH/0AYUhGytViwxggg+hIo0PFekloI40oUKpQajaekWsNKWhaFUuk2hW2wrSqBt+PrHOaOX6czO3Zk7c+85834lk73nYc/5/s459zO/+c25Z1JVSJK67wHjLkCSNBoGuiT1hIEuST1hoEtSTxjoktQTBrok9YSBLkk9YaCrd5LcnOS01dhWkpck+e+Br+8lqSQ/PYr9S0fDQJeWoao+VFUPnf0Cfh24CfjCmEvTGmSgq1eSXARsAf6h7TG/oZ1/SpJ/TXJXkn9Lcmo7/2eT3JFkczv95CR3JjlxoW0t4kzgg+VHsDUG8bpT3yS5GXhlVX2mnd4IXAe8DPgU8GzgYuDEqjqc5A+BpwNnAJ8H3lVV75hvW4vs93ia3vkJVfWNUbdLWow9dK0FLwX2V9X+qvphVX0aOAA8r13+RuDhNGF+K3DBEvfzcuCfDXONi4GuteB44IXtcMtdSe4Cngk8FqCq7gXeD5wEvG0ZwyUvBz6w/HKlpVk/7gKkFTA3kG8BLqqqV823cjsk8/vA+4C3JfmZqvrBAtuaV5JnAI8DLl1aydLy2UNXH30bePzA9F8Dv5jkuUnWJXlQklOTbEoSmt75e4CzgNuANx1hWws5E/hoVX13JC2QlsBAVx/9EfC77fDKb1fVLcBu4HeAwzQ99tfTXP+vBh4N/F471PIK4BVJfm6+bc23syQPAl6Ewy0aM+9ykaSesIcuST1hoEtSTxjoktQTBrok9YSBLkk9MbYPFh133HE1NTU1rt1LUidde+21d1TVhvmWjS3Qp6amOHDgwLh2L0mdlOQ/Flo21JBLkp1JDiaZSbJvgXVelOSGJNcn+ZulFitJWppFe+hJ1tE8fe45wCHgmiTTVXXDwDrbgHOAZ1TVnUkevVIFS5LmN0wP/WRgpqpuqqp7aJ4jvXvOOq8CLqiqOwGq6vbRlilJWswwgb6R5tkXsw618wY9AXhCkn9JclWSnaMqcD5T+y5jat9lK7kLSeqcUf1SdD2wDTgV2AR8LslPVtVdgysl2QvsBdiyZcuIdi1JguF66LcCmwemN7XzBh0Cpqvq3vavtXyVJuB/RFVdWFU7qmrHhg3z3nUjSVqiYQL9GmBbkq1JjgH2ANNz1vk4Te+cJMfRDMHcNLoyJUmLWTTQq+o+4GzgcuBG4JKquj7J+Ul2tatdDnwnyQ3AlcDrq+o7K1W0JOn+hhpDr6r9wP45884beF3Aa9svSdIY+CwXSeoJA12SesJAl6SeMNAlqScMdEnqCQNdknrCQJeknjDQJaknDHRJ6gkDXZJ6wkCXpJ4w0CWpJwx0SeoJA12SesJAl6SeMNAlqScMdEnqCQNdknrCQJeknjDQJaknDHRJ6gkDXZJ6wkCXpJ4w0CWpJwx0SeqJoQI9yc4kB5PMJNl3hPV+OUkl2TG6EiVJw1g00JOsAy4ATge2Ay9Osn2e9R4GvAa4etRFSpIWN0wP/WRgpqpuqqp7gIuB3fOs9ybgLcD3R1ifJGlIwwT6RuCWgelD7bz/k+SpwOaqumyEtUmSjsKyfyma5AHA24HXDbHu3iQHkhw4fPjwcnctSRowTKDfCmwemN7Uzpv1MOAk4J+S3AycAkzP94vRqrqwqnZU1Y4NGzYsvWpJ0v0ME+jXANuSbE1yDLAHmJ5dWFV3V9VxVTVVVVPAVcCuqjqwIhVLkua1aKBX1X3A2cDlwI3AJVV1fZLzk+xa6QIlScNZP8xKVbUf2D9n3nkLrHvq8suSJB0tPykqST1hoEtSTxjoktQTBrok9YSBLkk9YaBLUk8Y6JLUEwa6JPWEgS5JPWGgS1JPGOiS1BMGuiT1hIEuST1hoEtSTxjoktQTBrok9YSBLkk9YaBLUk8Y6JLUEwa6JPWEgS5JPWGgS1JPGOiS1BMGuiT1hIEuST1hoEtSTwwV6El2JjmYZCbJvnmWvzbJDUmuS3JFkuNHX6ok6UgWDfQk64ALgNOB7cCLk2yfs9oXgR1V9STgUuCPR12opH6Z2ncZU/suG3cZvTJMD/1kYKaqbqqqe4CLgd2DK1TVlVX1vXbyKmDTaMuUJC1mmEDfCNwyMH2onbeQs4BPLqcoSdLRWz/KjSV5KbAD+IUFlu8F9gJs2bJllLuWpDVvmB76rcDmgelN7bwfkeQ04FxgV1X9YL4NVdWFVbWjqnZs2LBhKfV2nuOGklbKMIF+DbAtydYkxwB7gOnBFZI8BXgXTZjfPvoyV5/BK6lrFg30qroPOBu4HLgRuKSqrk9yfpJd7WpvBR4KfCTJl5JML7A5SdIKGWoMvar2A/vnzDtv4PVpI65LknSU/KSoJPWEgS5JPWGgS1JPGOiSjsg7vrrDQJeknjDQJaknDHRJ6gkDXRPHMVtpaQz0CWSgSVoKA32AQSqpyzof6Iaw1B++n5en84EuSWoY6ItYqR6DPRFJo2agS7ofOxzdZKBLUk8Y6EfBXou0OnyvLY2BLkk9YaDrqNhzmgyeB83HQJeknjDQl8DekaRJNNQfie47w1lSH/Smh97lXnNX65Y0WXoT6Gp0+RvbXH1qi7QaDHRJY+XjNUbHQJ9wS70o1+LFPGyb1+Kx0cqYtOtoqEBPsjPJwSQzSfbNs/yBSf62XX51kqmRVyppKPZ4165F73JJsg64AHgOcAi4Jsl0Vd0wsNpZwJ1VdUKSPcBbgF9ZiYK1Ns0NkpvffMZIwmV2Gze/+Yxlb2s1tnu0+1mtOrpivutoHPtfqf0Oc9viycBMVd0EkORiYDcwGOi7gTe2ry8F3pEkVVUjrHVoC73RBw/iWrrQx9HWtXR8j2Q1j8ORvsGt9fOxWj9ZjPs4DxPoG4FbBqYPAU9baJ2qui/J3cCjgDtGUeQojfLEjvrkrfRFN1jvKGqfbxtd/ZF8pXtuRzpWazVkNXpZrBOd5AXAzqp6ZTv9MuBpVXX2wDpfbtc51E5/vV3njjnb2gvsbSefCBxcQs3HMYHfKI5S19vQ9frBNkyKrrdhHPUfX1Ub5lswTA/9VmDzwPSmdt586xxKsh54OPCduRuqqguBC4epeCFJDlTVjuVsY9y63oau1w+2YVJ0vQ2TVv8wd7lcA2xLsjXJMcAeYHrOOtPAme3rFwCfHdf4uSStVYv20Nsx8bOBy4F1wHur6vok5wMHqmoaeA9wUZIZ4D9pQl+StIqGejhXVe0H9s+Zd97A6+8DLxxtaQta1pDNhOh6G7peP9iGSdH1NkxU/Yv+UlSS1A1+9F+SeqIzgb7Y4wcmUZLNSa5MckOS65O8pp3/yCSfTvK19t9HjLvWxSRZl+SLST7RTm9tH/Mw0z724Zhx13gkSY5NcmmSryS5McnTu3QekvxWew19OcmHkzxo0s9Bkvcmub29rXl23rzHPI2/aNtyXZKnjq/y/7dAG97aXkfXJfm7JMcOLDunbcPBJM9d7Xo7EegDjx84HdgOvDjJ9vFWNZT7gNdV1XbgFOA32rr3AVdU1TbginZ60r0GuHFg+i3An1bVCcCdNI9/mGR/Dnyqqk4EnkzTlk6chyQbgVcDO6rqJJqbE2YfsTHJ5+D9wM458xY65qcD29qvvcA7V6nGxbyf+7fh08BJVfUk4KvAOQDte3sP8BPt//nLNrtWTScCnYHHD1TVPcDs4wcmWlXdVlVfaF9/lyZENtLU/oF2tQ8AvzSWAoeUZBNwBvDudjrAs2ge8wAT3oYkDwd+nuZuLKrqnqq6i26dh/XAj7ef83gwcBsTfg6q6nM0d70NWuiY7wY+WI2rgGOTPHZVCj2C+dpQVf9YVfe1k1fRfDYHmjZcXFU/qKpvADM02bVquhLo8z1+YOOYalmS9gmUTwGuBh5TVbe1i74FPGZcdQ3pz4A3AD9spx8F3DVwUU/6+dgKHAbe1w4bvTvJQ+jIeaiqW4E/Ab5JE+R3A9fSrXMwa6Fj3tX3+K8Bn2xfj70NXQn0TkvyUOCjwG9W1X8NLms/gDWxtxoleT5we1VdO+5almE98FTgnVX1FOB/mDO8MsnnoR1n3k3zjelxwEO4/zBA50zyMR9GknNphlU/NO5aZnUl0Id5/MBESvJjNGH+oar6WDv727M/Trb/3j6u+obwDGBXkptphrqeRTMefWz74z9M/vk4BByqqqvb6UtpAr4r5+E04BtVdbiq7gU+RnNeunQOZi10zDv1Hk/yq8DzgZcMfCp+7G3oSqAP8/iBidOONb8HuLGq3j6waPBRCWcCf7/atQ2rqs6pqk1VNUVz3D9bVS8BrqR5zANMfhu+BdyS5IntrGfTPP65K+fhm8ApSR7cXlOz9XfmHAxY6JhPAy9v73Y5Bbh7YGhmoiTZSTMEuauqvjewaBrYk+YP/myl+QXv51e1uKrqxBfwPJrfKH8dOHfc9QxZ8zNpfqS8DvhS+/U8mjHoK4CvAZ8BHjnuWodsz6nAJ9rXj6e5WGeAjwAPHHd9i9T+U8CB9lx8HHhEl84D8AfAV4AvAxcBD5z0cwB8mGbM/16an5LOWuiYA6G5k+3rwL/T3NEzqW2YoRkrn31P/9XA+ue2bTgInL7a9fpJUUnqia4MuUiSFmGgS1JPGOiS1BMGuiT1hIEuST1hoEtSTxjoktQTBrok9cT/AmxeAjROF9nsAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.12  0.02 number\n",
      " 2. 0.11  0.02 article\n",
      " 3. 0.21  0.02 relativ\n",
      " 4. 0.18  0.02 prep\n",
      " 5. 0.11  0.02 space\n",
      " 6. 0.09  0.01 focuspast\n",
      " 7. 0.08  0.01 time\n",
      " 8. 0.03  0.01 work\n",
      " 9. 0.02  0.01 home\n",
      "10. 0.04  0.01 insight\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.04  0.02 bio\n",
      " 2. 0.06  0.02 affiliation\n",
      " 3. 0.09  0.02 ppron\n",
      " 4. 0.11  0.02 conj\n",
      " 5. 0.12  0.02 number\n",
      " 6. 0.03  0.02 leisure\n",
      " 7. 0.12  0.02 social\n",
      " 8. 0.02  0.02 ingest\n",
      " 9. 0.02  0.02 body\n",
      "10. 0.03  0.02 home\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.17  0.06 adverb\n",
      " 2. 0.06  0.04 filler\n",
      " 3. 0.07  0.04 informal\n",
      " 4. 0.04  0.02 bio\n",
      " 5. 0.04  0.02 tentat\n",
      " 6. 0.06  0.02 affect\n",
      " 7. 0.04  0.02 percept\n",
      " 8. 0.02  0.02 feel\n",
      " 9. 0.11  0.02 auxverb\n",
      "10. 0.05  0.02 posemo\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.14  0.05 auxverb\n",
      " 2. 0.09  0.04 compare\n",
      " 3. 0.06  0.03 focusfuture\n",
      " 4. 0.12  0.03 adj\n",
      " 5. 0.23  0.03 verb\n",
      " 6. 0.19  0.02 focuspresent\n",
      " 7. 0.09  0.02 time\n",
      " 8. 0.04  0.02 i\n",
      " 9. 0.09  0.02 ppron\n",
      "10. 0.12  0.02 social\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.24  0.07 prep\n",
      " 2. 0.12  0.03 article\n",
      " 3. 0.05  0.03 work\n",
      " 4. 0.22  0.03 relativ\n",
      " 5. 0.07  0.02 compare\n",
      " 6. 0.09  0.02 time\n",
      " 7. 0.12  0.02 adj\n",
      " 8. 0.11  0.01 space\n",
      " 9. 0.02  0.01 risk\n",
      "10. 0.02  0.01 money\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.24  0.04 verb\n",
      " 2. 0.21  0.04 focuspresent\n",
      " 3. 0.04  0.02 discrep\n",
      " 4. 0.02  0.01 home\n",
      " 5. 0.02  0.01 ingest\n",
      " 6. 0.11  0.01 auxverb\n",
      " 7. 0.03  0.01 interrog\n",
      " 8. 0.11  0.01 space\n",
      " 9. 0.04  0.01 insight\n",
      "10. 0.02  0.01 money\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.20  0.05 cogproc\n",
      " 2. 0.16  0.05 adverb\n",
      " 3. 0.70  0.05 function\n",
      " 4. 0.07  0.03 differ\n",
      " 5. 0.04  0.03 i\n",
      " 6. 0.12  0.03 auxverb\n",
      " 7. 0.10  0.02 focuspast\n",
      " 8. 0.22  0.02 verb\n",
      " 9. 0.03  0.02 negemo\n",
      "10. 0.04  0.02 discrep\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.69  0.04 function\n",
      " 2. 0.20  0.04 pronoun\n",
      " 3. 0.10  0.03 ipron\n",
      " 4. 0.09  0.02 ppron\n",
      " 5. 0.03  0.02 i\n",
      " 6. 0.05  0.02 insight\n",
      " 7. 0.06  0.01 compare\n",
      " 8. 0.04  0.01 filler\n",
      " 9. 0.16  0.01 cogproc\n",
      "10. 0.18  0.01 prep\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.26  0.06 verb\n",
      " 2. 0.21  0.05 focuspresent\n",
      " 3. 0.13  0.03 space\n",
      " 4. 0.07  0.03 affect\n",
      " 5. 0.12  0.03 conj\n",
      " 6. 0.13  0.03 adj\n",
      " 7. 0.17  0.02 cogproc\n",
      " 8. 0.05  0.02 posemo\n",
      " 9. 0.04  0.02 tentat\n",
      "10. 0.03  0.02 health\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.15  0.04 adverb\n",
      " 2. 0.68  0.03 function\n",
      " 3. 0.09  0.02 ipron\n",
      " 4. 0.16  0.02 cogproc\n",
      " 5. 0.18  0.02 focuspresent\n",
      " 6. 0.10  0.02 drives\n",
      " 7. 0.12  0.02 social\n",
      " 8. 0.05  0.01 differ\n",
      " 9. 0.11  0.01 auxverb\n",
      "10. 0.18  0.01 pronoun\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.14  0.03 adverb\n",
      " 2. 0.06  0.02 quant\n",
      " 3. 0.10  0.02 focuspast\n",
      " 4. 0.18  0.02 pronoun\n",
      " 5. 0.16  0.01 cogproc\n",
      " 6. 0.03  0.01 you\n",
      " 7. 0.66  0.01 function\n",
      " 8. 0.04  0.01 focusfuture\n",
      " 9. 0.05  0.01 differ\n",
      "10. 0.02  0.01 netspeak\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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ggg==\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.07  0.05 percept\n",
      " 2. 0.18  0.04 cogproc\n",
      " 3. 0.13  0.04 auxverb\n",
      " 4. 0.04  0.03 see\n",
      " 5. 0.12  0.03 article\n",
      " 6. 0.13  0.03 adj\n",
      " 7. 0.05  0.03 tentat\n",
      " 8. 0.68  0.03 function\n",
      " 9. 0.04  0.02 cause\n",
      "10. 0.19  0.02 focuspresent\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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=\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.70  0.05 function\n",
      " 2. 0.22  0.05 prep\n",
      " 3. 0.15  0.05 social\n",
      " 4. 0.20  0.04 pronoun\n",
      " 5. 0.08  0.04 affiliation\n",
      " 6. 0.06  0.03 we\n",
      " 7. 0.10  0.03 ppron\n",
      " 8. 0.11  0.03 drives\n",
      " 9. 0.12  0.03 space\n",
      "10. 0.04  0.02 interrog\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.07  0.04 we\n",
      " 2. 0.08  0.04 affiliation\n",
      " 3. 0.11  0.03 drives\n",
      " 4. 0.10  0.02 ppron\n",
      " 5. 0.03  0.02 family\n",
      " 6. 0.09  0.02 time\n",
      " 7. 0.20  0.01 relativ\n",
      " 8. 0.12  0.01 social\n",
      " 9. 0.03  0.01 power\n",
      "10. 0.66  0.01 function\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " 1. 0.20  0.04 prep\n",
      " 2. 0.12  0.03 article\n",
      " 3. 0.06  0.03 insight\n",
      " 4. 0.04  0.03 they\n",
      " 5. 0.18  0.03 cogproc\n",
      " 6. 0.03  0.02 shehe\n",
      " 7. 0.10  0.02 focuspast\n",
      " 8. 0.04  0.02 tentat\n",
      " 9. 0.03  0.01 power\n",
      "10. 0.02  0.01 female\n",
      "\n"
     ]
    }
   ],
   "source": [
    "liwc_results, liwc_feature_names = apply_liwc_to_texts(texts)\n",
    "show_results(liwc_results, liwc_feature_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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