wikipedia.ipynb

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   "id": "7ae84e23-83b5-442c-af4b-fe8e98c1b73c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "89caede0-a549-4fd6-a7e3-639b2960aed8",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_df = pd.read_csv('wikipedia-toxic-comment-train.csv')\n",
    "test_df = pd.read_csv('wikipidea-toxic-comment-test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f50f92cd-551e-4201-aa26-ad996bd37b13",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>comment_text</th>\n",
       "      <th>toxic</th>\n",
       "      <th>severe_toxic</th>\n",
       "      <th>obscene</th>\n",
       "      <th>threat</th>\n",
       "      <th>insult</th>\n",
       "      <th>identity_hate</th>\n",
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       "      <td>000103f0d9cfb60f</td>\n",
       "      <td>D'aww! He matches this background colour I'm s...</td>\n",
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       "      <th>3</th>\n",
       "      <td>0001b41b1c6bb37e</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0001d958c54c6e35</td>\n",
       "      <td>You, sir, are my hero. Any chance you remember...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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      "text/plain": [
       "                 id                                       comment_text  toxic  \\\n",
       "0  0000997932d777bf  Explanation\\nWhy the edits made under my usern...      0   \n",
       "1  000103f0d9cfb60f  D'aww! He matches this background colour I'm s...      0   \n",
       "2  000113f07ec002fd  Hey man, I'm really not trying to edit war. It...      0   \n",
       "3  0001b41b1c6bb37e  \"\\nMore\\nI can't make any real suggestions on ...      0   \n",
       "4  0001d958c54c6e35  You, sir, are my hero. Any chance you remember...      0   \n",
       "\n",
       "   severe_toxic  obscene  threat  insult  identity_hate  \n",
       "0             0        0       0       0              0  \n",
       "1             0        0       0       0              0  \n",
       "2             0        0       0       0              0  \n",
       "3             0        0       0       0              0  \n",
       "4             0        0       0       0              0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c109b2d3-bf5b-443c-be59-302e1543c9cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<spacymoji.Emoji at 0x1e565929888>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import spacy\n",
    "nlp = spacy.load(\"en_core_web_sm\")\n",
    "nlp.add_pipe(\"emoji\", first=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3adbf799-c6ab-48ae-86f4-9e8ca6c06b91",
   "metadata": {},
   "outputs": [],
   "source": [
    "def detect_emoji(text):\n",
    "    doc = nlp(text)\n",
    "    if doc._.has_emoji:\n",
    "        return True\n",
    "    else:\n",
    "        return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "458bf830-f308-44cd-8f94-73e07b2f234d",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>comment_text</th>\n",
       "      <th>toxic</th>\n",
       "      <th>severe_toxic</th>\n",
       "      <th>obscene</th>\n",
       "      <th>threat</th>\n",
       "      <th>insult</th>\n",
       "      <th>identity_hate</th>\n",
       "      <th>has_emoji</th>\n",
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       "      <td>False</td>\n",
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       "      <th>4</th>\n",
       "      <td>0001d958c54c6e35</td>\n",
       "      <td>You, sir, are my hero. Any chance you remember...</td>\n",
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      "text/plain": [
       "                 id                                       comment_text  toxic  \\\n",
       "0  0000997932d777bf  Explanation\\nWhy the edits made under my usern...      0   \n",
       "1  000103f0d9cfb60f  D'aww! He matches this background colour I'm s...      0   \n",
       "2  000113f07ec002fd  Hey man, I'm really not trying to edit war. It...      0   \n",
       "3  0001b41b1c6bb37e  \"\\nMore\\nI can't make any real suggestions on ...      0   \n",
       "4  0001d958c54c6e35  You, sir, are my hero. Any chance you remember...      0   \n",
       "\n",
       "   severe_toxic  obscene  threat  insult  identity_hate  has_emoji  \n",
       "0             0        0       0       0              0      False  \n",
       "1             0        0       0       0              0      False  \n",
       "2             0        0       0       0              0      False  \n",
       "3             0        0       0       0              0      False  \n",
       "4             0        0       0       0              0      False  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df['has_emoji'] = train_df['comment_text'].apply(detect_emoji)\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a387b5ac-579f-446c-9fb0-dde5d65da776",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "befe00c8-99a9-4941-b896-67fd578e0676",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    158376\n",
       "True       1195\n",
       "Name: has_emoji, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df['has_emoji'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3b5619fd-8134-4a8b-ad87-fca734f9f42e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "fig, ax = plt.subplots()\n",
    "train_df['has_emoji'].value_counts().plot(ax=ax, kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5fb6ecc0-e707-4242-9454-531b0235c6d2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}