aspect_sa/aspects

aspect.ipynb

{
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   "cell_type": "code",
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Dominant_topic</th>\n",
       "      <th>topic_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>[battery charger]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>[cell phone]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>[screen protector]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>[battery pack]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>[car charger]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Dominant_topic          topic_name\n",
       "0               5   [battery charger]\n",
       "1               2        [cell phone]\n",
       "2               1  [screen protector]\n",
       "3               3      [battery pack]\n",
       "4               4       [car charger]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_topics = []\n",
    "\n",
    "for i in tmp['topic'].unique():    \n",
    "    tmp_1 = tmp.loc[tmp['topic'] == i].reset_index()\n",
    "    tmp_1 = tmp_1.sort_values('relevance_score', ascending=False).head(1)\n",
    "\n",
    "    tmp_1['topic'] = tmp_1['topic'] + 1\n",
    "    \n",
    "    tmp_2 = []\n",
    "    tmp_2.append(tmp_1['topic'].unique()[0])\n",
    "    tmp_2.append(list(tmp_1['index'].unique()))\n",
    "    all_topics.append(tmp_2)\n",
    "\n",
    "all_topics = pd.DataFrame(all_topics, columns=['Dominant_topic', 'topic_name'])\n",
    "display(all_topics)"
   ]
  }
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