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{
"cell_type": "code",
"execution_count": 48,
"id": "19c5ce1a-039d-4c1e-9795-6eb6116cd1ab",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import csv\n",
"import pymorphy3\n",
"from pymorphy3 import MorphAnalyzer\n",
"import time\n",
"from tqdm import tqdm\n",
"\n",
"\n",
"import numpy as np\n",
"import re\n",
"import string\n",
"import nltk\n",
"from collections import defaultdict\n",
"from sklearn import metrics\n",
"from time import time\n",
"from nltk.corpus import stopwords\n",
"from nltk.stem import WordNetLemmatizer\n",
"from nltk.tokenize import RegexpTokenizer\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"from sklearn.cluster import KMeans\n",
"from sklearn.datasets import fetch_20newsgroups\n",
"from sklearn.decomposition import TruncatedSVD\n",
"from sklearn.pipeline import make_pipeline\n",
"from sklearn.preprocessing import Normalizer\n",
"\n",
"from nltk.tokenize import word_tokenize\n",
"import requests\n",
"\n",
"import sklearn\n",
"sklearn.set_config(transform_output='pandas')"
]
},
{
"cell_type": "markdown",
"id": "991d7d3f-8968-4e99-9148-e17b66761316",
"metadata": {},
"source": [
"Датасет от Валерии"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "1de2cc8a-1740-4ebd-aa83-2291cf12e4ef",
"metadata": {},
"outputs": [
{
"data": {
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" <tr>\n",
" <th>0</th>\n",
" <td>https://www.biblio-globus.ru//product/10957168</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Маринина А.</td>\n",
" <td>Ричард Третий и Генрих Восьмой глазами Шекспира</td>\n",
" <td>Расследование жизни и деяний двух самых опороч...</td>\n",
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" <th>1</th>\n",
" <td>https://www.biblio-globus.ru//product/10997075</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Михалкова Е.И.</td>\n",
" <td>Знак истинного пути</td>\n",
" <td>Сыщики Макар Илюшин и Сергей Бабкин расследуют...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>https://www.biblio-globus.ru//product/10941892</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Маринина А.</td>\n",
" <td>Генрих Шестой глазами Шекспира</td>\n",
" <td>Генрих Шестой – самая трагическая фигура на ан...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>https://www.biblio-globus.ru//product/10978116</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Маринина А.</td>\n",
" <td>Иоанн Безземельный, Эдуард Третий и Ричард Вто...</td>\n",
" <td>Истории трех знаменитых королей под одной обло...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>https://www.biblio-globus.ru//product/10845007</td>\n",
" <td>https://static1.bgshop.ru/extraimagehandler.as...</td>\n",
" <td>Маринина А.</td>\n",
" <td>Шпаргалка для ленивых любителей истории. Корол...</td>\n",
" <td>Первая книга в необычном для Александры Марини...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>https://www.biblio-globus.ru//product/10928065</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Елена Ивановна Михалкова</td>\n",
" <td>Мертвый кролик, живой кролик</td>\n",
" <td>Самый громкий провал Илюшина: преступление, ко...</td>\n",
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"\n",
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"5 Самый громкий провал Илюшина: преступление, ко... "
]
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"source": [
"data_1 = pd.read_csv('csv_file.csv')\n",
"data_1.head(6)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "57e58eee-625e-47d3-9d48-25a05dca21a8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 2149 entries, 0 to 2148\n",
"Data columns (total 5 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 page_url 2149 non-null object\n",
" 1 image_url 2149 non-null object\n",
" 2 author 2143 non-null object\n",
" 3 title 2149 non-null object\n",
" 4 annotation 2146 non-null object\n",
"dtypes: object(5)\n",
"memory usage: 84.1+ KB\n"
]
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"source": [
"data_1.info()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "79ae4aac-9301-4e90-85a8-65b6a7b6cd33",
"metadata": {},
"outputs": [],
"source": [
"filtered_data_1 = data_1.dropna(subset=['author'])"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "d305b67d-4763-46e1-8363-9e2c0f9fb823",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Index: 2140 entries, 0 to 2148\n",
"Data columns (total 5 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 page_url 2140 non-null object\n",
" 1 image_url 2140 non-null object\n",
" 2 author 2140 non-null object\n",
" 3 title 2140 non-null object\n",
" 4 annotation 2140 non-null object\n",
"dtypes: object(5)\n",
"memory usage: 100.3+ KB\n"
]
}
],
"source": [
"filtered_data_1 = filtered_data_1.dropna(subset=['annotation'])\n",
"filtered_data_1.info()"
]
},
{
"cell_type": "markdown",
"id": "c6bb97f1-3efc-45a3-acfa-d3957e6a299c",
"metadata": {},
"source": [
"Датасет от Савра"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "7464feea-b7e1-48f0-8206-4f5afdea242f",
"metadata": {},
"outputs": [],
"source": [
"data_2 = pd.read_csv('csv_file_Savr.csv', on_bad_lines='skip')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "5922c272-303f-4899-b4e3-26ac7133651d",
"metadata": {},
"outputs": [
{
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" <th>0</th>\n",
" <td>https://www.biblio-globus.ru//product/10983286</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Лю Цысинь</td>\n",
" <td>Темный лес (Воспоминания о прошлом Земли #2. Б...</td>\n",
" <td>Трисолярианский кризис продолжается. У землян ...</td>\n",
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" <tr>\n",
" <th>1</th>\n",
" <td>https://www.biblio-globus.ru//product/10864732</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Чэнь Д.</td>\n",
" <td>Вайолет, созданная из шипов (#1)</td>\n",
" <td>Вайолет — предсказательница. Но никто не знае...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>https://www.biblio-globus.ru//product/10988948</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Лю Цысинь</td>\n",
" <td>Задача трех тел (Воспоминания о прошлом Земли ...</td>\n",
" <td>В те времена, когда Китай переживал последстви...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>https://www.biblio-globus.ru//product/10922727</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Парди К.</td>\n",
" <td>Рассвет костяной волшебницы (#2)</td>\n",
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" <td>https://www.biblio-globus.ru//product/10864123</td>\n",
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" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 page_url 581 non-null object\n",
" 1 image_url 581 non-null object\n",
" 2 author 579 non-null object\n",
" 3 title 581 non-null object\n",
" 4 annotation 581 non-null object\n",
"dtypes: object(5)\n",
"memory usage: 27.2+ KB\n"
]
}
],
"source": [
"filtered_data_2 = data_2.dropna(subset=['annotation'])\n",
"filtered_data_2.info()"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "4df00d79-f0b9-463b-b495-b2696ea6fac3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Index: 579 entries, 0 to 3529\n",
"Data columns (total 5 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 page_url 579 non-null object\n",
" 1 image_url 579 non-null object\n",
" 2 author 579 non-null object\n",
" 3 title 579 non-null object\n",
" 4 annotation 579 non-null object\n",
"dtypes: object(5)\n",
"memory usage: 27.1+ KB\n"
]
}
],
"source": [
"filtered_data_2 = filtered_data_2.dropna(subset=['author'])\n",
"filtered_data_2.info()"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "2b549079-a2e1-4132-9b21-0d77d0ba2e7f",
"metadata": {},
"outputs": [],
"source": [
"data_1_2 = pd.concat([filtered_data_1, filtered_data_2], ignore_index=True) # объединенный с библиоглобуса"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "b6f4c3ae-270a-4a0e-842a-899c08ef878f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 2719 entries, 0 to 2718\n",
"Data columns (total 5 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 page_url 2719 non-null object\n",
" 1 image_url 2719 non-null object\n",
" 2 author 2719 non-null object\n",
" 3 title 2719 non-null object\n",
" 4 annotation 2719 non-null object\n",
"dtypes: object(5)\n",
"memory usage: 106.3+ KB\n"
]
}
],
"source": [
"data_1_2.info()"
]
},
{
"cell_type": "markdown",
"id": "2ab092ab-8b1f-4cbd-a43c-670c398fee74",
"metadata": {},
"source": [
"Датасет от Сауле (с loveread)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "98e27ab5-74b6-4811-8fec-d499ba024d9f",
"metadata": {},
"outputs": [],
"source": [
"data_3 = pd.read_csv('books_v7_500.csv')"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "b2483fc7-99fa-4456-80d5-9da972f0ec2e",
"metadata": {},
"outputs": [
{
"data": {
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"</style>\n",
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" <th></th>\n",
" <th>page_url</th>\n",
" <th>image_url</th>\n",
" <th>author</th>\n",
" <th>title</th>\n",
" <th>annotation</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>495</th>\n",
" <td>http://loveread.ec/view_global.php?id=10138</td>\n",
" <td>http://loveread.ec/img/photo_books/10138.jpg</td>\n",
" <td>Нил Шустерман</td>\n",
" <td>Книга Громила</td>\n",
" <td>Когда Бронте начинает встречаться с Брюстером ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>496</th>\n",
" <td>http://loveread.ec/view_global.php?id=10150</td>\n",
" <td>http://loveread.ec/img/photo_books/10150.jpg</td>\n",
" <td>Шеррилин Кеньон</td>\n",
" <td>Книга Дьявол может плакать [= Син и Катра ]</td>\n",
" <td>Месть. Некоторые говорят, что это яд, просачив...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>497</th>\n",
" <td>http://loveread.ec/view_global.php?id=10162</td>\n",
" <td>http://loveread.ec/img/photo_books/10162.jpg</td>\n",
" <td>Бекка Фицпатрик</td>\n",
" <td>Книга Тишина</td>\n",
" <td>Ссоры между Патчем и Норой закончились. Они ра...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>498</th>\n",
" <td>http://loveread.ec/view_global.php?id=10166</td>\n",
" <td>http://loveread.ec/img/photo_books/10166.jpg</td>\n",
" <td>Элизабет Гоудж</td>\n",
" <td>Книга Маленькая белая лошадка в серебряном све...</td>\n",
" <td>…Лунная Долина полнится воспоминаниями о Лунно...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>499</th>\n",
" <td>http://loveread.ec/view_global.php?id=10206</td>\n",
" <td>http://loveread.ec/img/photo_books/10206.jpg</td>\n",
" <td>Кэтрин Коултер</td>\n",
" <td>Книга Дикая звезда</td>\n",
" <td>С той секунды, как очаровательная Байрони впер...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" page_url \\\n",
"495 http://loveread.ec/view_global.php?id=10138 \n",
"496 http://loveread.ec/view_global.php?id=10150 \n",
"497 http://loveread.ec/view_global.php?id=10162 \n",
"498 http://loveread.ec/view_global.php?id=10166 \n",
"499 http://loveread.ec/view_global.php?id=10206 \n",
"\n",
" image_url author \\\n",
"495 http://loveread.ec/img/photo_books/10138.jpg Нил Шустерман \n",
"496 http://loveread.ec/img/photo_books/10150.jpg Шеррилин Кеньон \n",
"497 http://loveread.ec/img/photo_books/10162.jpg Бекка Фицпатрик \n",
"498 http://loveread.ec/img/photo_books/10166.jpg Элизабет Гоудж \n",
"499 http://loveread.ec/img/photo_books/10206.jpg Кэтрин Коултер \n",
"\n",
" title \\\n",
"495 Книга Громила \n",
"496 Книга Дьявол может плакать [= Син и Катра ] \n",
"497 Книга Тишина \n",
"498 Книга Маленькая белая лошадка в серебряном све... \n",
"499 Книга Дикая звезда \n",
"\n",
" annotation \n",
"495 Когда Бронте начинает встречаться с Брюстером ... \n",
"496 Месть. Некоторые говорят, что это яд, просачив... \n",
"497 Ссоры между Патчем и Норой закончились. Они ра... \n",
"498 …Лунная Долина полнится воспоминаниями о Лунно... \n",
"499 С той секунды, как очаровательная Байрони впер... "
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_3.tail(5)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "0f1ea0d3-9845-4550-9d5d-7d4159e4325f",
"metadata": {},
"outputs": [
{
"data": {
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" <th>page_url</th>\n",
" <th>image_url</th>\n",
" <th>author</th>\n",
" <th>title</th>\n",
" <th>annotation</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>http://loveread.ec/view_global.php?id=41</td>\n",
" <td>http://loveread.ec/img/photo_books/41.jpg</td>\n",
" <td>Владимир Набоков</td>\n",
" <td>Приглашение на казнь</td>\n",
" <td>Это - собрание самых, наверное, странных произ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>http://loveread.ec/view_global.php?id=1166</td>\n",
" <td>http://loveread.ec/img/photo_books/1166.jpg</td>\n",
" <td>Агата Кристи</td>\n",
" <td>Третья девушка</td>\n",
" <td>Молодая девушка по имени Норма Рестарик обраща...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>http://loveread.ec/view_global.php?id=1187</td>\n",
" <td>http://loveread.ec/img/photo_books/1187.jpg</td>\n",
" <td>Роджер Желязны</td>\n",
" <td>Принеси мне голову Прекрасного принца</td>\n",
" <td>Несоврешеннолетний демон Аззи вообразил себя н...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>http://loveread.ec/view_global.php?id=1289</td>\n",
" <td>http://loveread.ec/img/photo_books/1289.jpg</td>\n",
" <td>Гарри Гаррисон</td>\n",
" <td>Стальную крысу - в президенты !</td>\n",
" <td>Великолепный Джим ди Гриз - знаменитый межзвез...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>http://loveread.ec/view_global.php?id=1352</td>\n",
" <td>http://loveread.ec/img/photo_books/1352.jpg</td>\n",
" <td>Юз Алешковский</td>\n",
" <td>Рука</td>\n",
" <td>Роман Юза Алешковского «Рука» (1977, опубл. 19...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" page_url \\\n",
"0 http://loveread.ec/view_global.php?id=41 \n",
"1 http://loveread.ec/view_global.php?id=1166 \n",
"2 http://loveread.ec/view_global.php?id=1187 \n",
"3 http://loveread.ec/view_global.php?id=1289 \n",
"4 http://loveread.ec/view_global.php?id=1352 \n",
"\n",
" image_url author \\\n",
"0 http://loveread.ec/img/photo_books/41.jpg Владимир Набоков \n",
"1 http://loveread.ec/img/photo_books/1166.jpg Агата Кристи \n",
"2 http://loveread.ec/img/photo_books/1187.jpg Роджер Желязны \n",
"3 http://loveread.ec/img/photo_books/1289.jpg Гарри Гаррисон \n",
"4 http://loveread.ec/img/photo_books/1352.jpg Юз Алешковский \n",
"\n",
" title \\\n",
"0 Приглашение на казнь \n",
"1 Третья девушка \n",
"2 Принеси мне голову Прекрасного принца \n",
"3 Стальную крысу - в президенты ! \n",
"4 Рука \n",
"\n",
" annotation \n",
"0 Это - собрание самых, наверное, странных произ... \n",
"1 Молодая девушка по имени Норма Рестарик обраща... \n",
"2 Несоврешеннолетний демон Аззи вообразил себя н... \n",
"3 Великолепный Джим ди Гриз - знаменитый межзвез... \n",
"4 Роман Юза Алешковского «Рука» (1977, опубл. 19... "
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_3['title'] = data_3['title'].str.replace(r'^Книга\\s+', '', regex=True)\n",
"data_3.head(5)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "17ce45b0-3a29-45ef-8625-33d2f59570ba",
"metadata": {},
"outputs": [],
"source": [
"data_main = pd.concat([data_1_2, data_3], ignore_index=True)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "08f59813-2436-4c2d-b9c9-1ea3222ffd43",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 3219 entries, 0 to 3218\n",
"Data columns (total 5 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 page_url 3219 non-null object\n",
" 1 image_url 3219 non-null object\n",
" 2 author 3219 non-null object\n",
" 3 title 3219 non-null object\n",
" 4 annotation 3219 non-null object\n",
"dtypes: object(5)\n",
"memory usage: 125.9+ KB\n"
]
}
],
"source": [
"data_main.info()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "748b7773-0cb1-430e-aa89-46836488c35e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 726 entries, 0 to 725\n",
"Data columns (total 5 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 page_url 726 non-null object\n",
" 1 image_url 726 non-null object\n",
" 2 author 726 non-null object\n",
" 3 title 726 non-null object\n",
" 4 annotation 726 non-null object\n",
"dtypes: object(5)\n",
"memory usage: 28.5+ KB\n"
]
}
],
"source": [
"data_4 = pd.read_csv('books_1000.csv')\n",
"data_4.info()"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "a3078611-6002-42b5-b168-329e8c35fc91",
"metadata": {},
"outputs": [],
"source": [
"data_main = pd.concat([data_main, data_4], ignore_index=True)"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "0ce908be-2d12-480d-916c-449c4965f20c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"RangeIndex: 3945 entries, 0 to 3944\n",
"Data columns (total 5 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 page_url 3945 non-null object\n",
" 1 image_url 3945 non-null object\n",
" 2 author 3945 non-null object\n",
" 3 title 3945 non-null object\n",
" 4 annotation 3945 non-null object\n",
"dtypes: object(5)\n",
"memory usage: 154.2+ KB\n"
]
}
],
"source": [
"data_main.info()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "2f94edbf-16d9-4ed4-bd3b-35d54a9cd594",
"metadata": {},
"outputs": [
{
"data": {
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" <th>7</th>\n",
" <td>https://www.biblio-globus.ru//product/10974400</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Свечин Н.</td>\n",
" <td>Ледяной ветер Суоми</td>\n",
" <td>Немудрено, что кассир крупного банка, уроженец...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>https://www.biblio-globus.ru//product/10974399</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Свечин Н.</td>\n",
" <td>Ледяной ветер Суоми</td>\n",
" <td>Немудрено, что кассир крупного банка, уроженец...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>https://www.biblio-globus.ru//product/10893792</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Елена Ивановна Михалкова</td>\n",
" <td>Перо бумажной птицы</td>\n",
" <td>Пропала девушка. Ее любящая семья нанимает час...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>https://www.biblio-globus.ru//product/10871804</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Бочарова Т.А.</td>\n",
" <td>Восстание Феникса</td>\n",
" <td>Всю жизнь Регина Сергеевна проработала учитель...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>https://www.biblio-globus.ru//product/10989481</td>\n",
" <td>https://static1.bgshop.ru/imagehandler.ashx?fi...</td>\n",
" <td>Корецкий Д.А.</td>\n",
" <td>Возвращение не гарантируется</td>\n",
" <td>Они познакомились на пустынном ночном шоссе, г...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3423</th>\n",
" <td>http://loveread.ec/view_global.php?id=12245</td>\n",
" <td>http://loveread.ec/img/photo_books/12245.jpg</td>\n",
" <td>Лилия Белая</td>\n",
" <td>Книга Мечта</td>\n",
" <td>Что ты будешь делать, когда, попадав в другой ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3655</th>\n",
" <td>http://loveread.ec/view_global.php?id=14473</td>\n",
" <td>http://loveread.ec/img/photo_books/14473.jpg</td>\n",
" <td>Эмиль Золя</td>\n",
" <td>Книга Мечта</td>\n",
" <td>Стояла суровая зима 1860 года, Уаза замерзла, ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3800</th>\n",
" <td>http://loveread.ec/view_global.php?id=15496</td>\n",
" <td>http://loveread.ec/img/photo_books/15496.jpg</td>\n",
" <td>Франц Кафка</td>\n",
" <td>Книга Превращение</td>\n",
" <td>В настоящий том вошли роман Кафки «Замок», при...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3849</th>\n",
" <td>http://loveread.ec/view_global.php?id=16065</td>\n",
" <td>http://loveread.ec/img/photo_books/16065.jpg</td>\n",
" <td>Келли Армстронг</td>\n",
" <td>Книга Пробуждение</td>\n",
" <td>Если бы мы встретились несколько недель назад,...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3933</th>\n",
" <td>http://loveread.ec/view_global.php?id=16381</td>\n",
" <td>http://loveread.ec/img/photo_books/16381.jpg</td>\n",
" <td>Дэй Леклер</td>\n",
" <td>Книга Родственные души</td>\n",
" <td>Джей Ранделл начала работать в фирме, которая ...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>485 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
" page_url \\\n",
"7 https://www.biblio-globus.ru//product/10974400 \n",
"15 https://www.biblio-globus.ru//product/10974399 \n",
"31 https://www.biblio-globus.ru//product/10893792 \n",
"33 https://www.biblio-globus.ru//product/10871804 \n",
"46 https://www.biblio-globus.ru//product/10989481 \n",
"... ... \n",
"3423 http://loveread.ec/view_global.php?id=12245 \n",
"3655 http://loveread.ec/view_global.php?id=14473 \n",
"3800 http://loveread.ec/view_global.php?id=15496 \n",
"3849 http://loveread.ec/view_global.php?id=16065 \n",
"3933 http://loveread.ec/view_global.php?id=16381 \n",
"\n",
" image_url \\\n",
"7 https://static1.bgshop.ru/imagehandler.ashx?fi... \n",
"15 https://static1.bgshop.ru/imagehandler.ashx?fi... \n",
"31 https://static1.bgshop.ru/imagehandler.ashx?fi... \n",
"33 https://static1.bgshop.ru/imagehandler.ashx?fi... \n",
"46 https://static1.bgshop.ru/imagehandler.ashx?fi... \n",
"... ... \n",
"3423 http://loveread.ec/img/photo_books/12245.jpg \n",
"3655 http://loveread.ec/img/photo_books/14473.jpg \n",
"3800 http://loveread.ec/img/photo_books/15496.jpg \n",
"3849 http://loveread.ec/img/photo_books/16065.jpg \n",
"3933 http://loveread.ec/img/photo_books/16381.jpg \n",
"\n",
" author title \\\n",
"7 Свечин Н. Ледяной ветер Суоми \n",
"15 Свечин Н. Ледяной ветер Суоми \n",
"31 Елена Ивановна Михалкова Перо бумажной птицы \n",
"33 Бочарова Т.А. Восстание Феникса \n",
"46 Корецкий Д.А. Возвращение не гарантируется \n",
"... ... ... \n",
"3423 Лилия Белая Книга Мечта \n",
"3655 Эмиль Золя Книга Мечта \n",
"3800 Франц Кафка Книга Превращение \n",
"3849 Келли Армстронг Книга Пробуждение \n",
"3933 Дэй Леклер Книга Родственные души \n",
"\n",
" annotation \n",
"7 Немудрено, что кассир крупного банка, уроженец... \n",
"15 Немудрено, что кассир крупного банка, уроженец... \n",
"31 Пропала девушка. Ее любящая семья нанимает час... \n",
"33 Всю жизнь Регина Сергеевна проработала учитель... \n",
"46 Они познакомились на пустынном ночном шоссе, г... \n",
"... ... \n",
"3423 Что ты будешь делать, когда, попадав в другой ... \n",
"3655 Стояла суровая зима 1860 года, Уаза замерзла, ... \n",
"3800 В настоящий том вошли роман Кафки «Замок», при... \n",
"3849 Если бы мы встретились несколько недель назад,... \n",
"3933 Джей Ранделл начала работать в фирме, которая ... \n",
"\n",
"[485 rows x 5 columns]"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"duplicates = data_main[data_main['title'].duplicated(keep=False)]\n",
"duplicates"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "06b29a83-5375-4513-9eee-a164534dc2a7",
"metadata": {},
"outputs": [],
"source": [
"data_main_no_duplicates = data_main.drop_duplicates(subset='title', keep='first')"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "6d63e0b8-e22a-4264-909f-d928edad28d1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Index: 3691 entries, 0 to 3944\n",
"Data columns (total 5 columns):\n",
" # Column Non-Null Count Dtype \n",
"--- ------ -------------- ----- \n",
" 0 page_url 3691 non-null object\n",
" 1 image_url 3691 non-null object\n",
" 2 author 3691 non-null object\n",
" 3 title 3691 non-null object\n",
" 4 annotation 3691 non-null object\n",
"dtypes: object(5)\n",
"memory usage: 173.0+ KB\n"
]
}
],
"source": [
"data_main_no_duplicates.info()"
]
},
{
"cell_type": "markdown",
"id": "65c7f96b-6633-4e41-9802-1919e1b554c9",
"metadata": {},
"source": [
"Preproccesing"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "e409f07e-3d21-4318-a24a-40dcff1a77e4",
"metadata": {},
"outputs": [],
"source": [
"url = \"https://raw.githubusercontent.com/stopwords-iso/stopwords-ru/master/stopwords-ru.txt\"\n",
"stop_words_russian = requests.get(url).text.splitlines()"
]
},
{
"cell_type": "code",
"execution_count": 52,
"id": "89a1ff27-3f90-40cd-9eb6-97c13eb00ca1",
"metadata": {},
"outputs": [],
"source": [
"def clean(text):\n",
" text = re.sub(r'([А-Я])', r' \\1', text) # делаем пробел между верхним и нижним регистром(123/473)\n",
" text = text.lower() # нижний регистр (194)\n",
" text = re.sub(r'[\\w\\.-]+\\.ru', \" \", text) # удаляем сайты (4)\n",
" text = re.sub(r'http\\S+', \" \", text) # удаляем ссылки (10/1076)\n",
" text = re.sub(r'@\\w+',' ',text) # удаляем упоминания пользователей (1937/1923)\n",
" text = re.sub(r'#\\w+', ' ', text) # удаляем хэштеги (10/77/1923)\n",
" text = re.sub(r'\\d+', ' ', text) # удаляем числа()\n",
" text = text.translate(str.maketrans('', '', string.punctuation))\n",
" # Удаление английских слов\n",
" text = ' '.join(re.findall(r'\\b[а-яА-ЯёЁ]+\\b', text))\n",
" # Удаление стоп-слов\n",
" tokens = word_tokenize(text)\n",
" text = ' '.join([word for word in tokens if word.lower() not in stop_words_russian])\n",
" # text = re.sub(r'<.*?>',' ', text) #\n",
" text = re.sub(r'['u'\\U0001F600-\\U0001F64F'\n",
" u'\\U0001F300-\\U0001F5FF'\n",
" u'\\U0001F680-\\U0001F6FF'\n",
" u'\\U0001F1E0-\\U0001F1FF'\n",
" u'\\U00002500-\\U00002BEF'\n",
" u'\\U00002702-\\U000027B0'\n",
" u'\\U000024C2-\\U0001F251'\n",
" u'\\U0001f926-\\U0001f937'\n",
" u'\\U00010000-\\U0010ffff'\n",
" ']+', '', text, flags=re.UNICODE) # удаляем эмоджи(4/1707)\n",
" return text"
]
},
{
"cell_type": "code",
"execution_count": 54,
"id": "3e7d68bb-09b8-48c3-875c-eece6f9cb7c3",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_3152/2295399223.py:1: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" data_main_no_duplicates['cleaned_text'] = data_main_no_duplicates['annotation'].apply(clean)\n"
]
},
{
"data": {
"text/plain": [
"0 расследование жизни деяний самых опороченных в...\n",
"1 сыщики макар илюшин сергей бабкин расследуют п...\n",
"2 генрих самая трагическая фигура английском пре...\n",
"3 истории трех знаменитых королей обложкой посво...\n",
"4 первая необычном александры марининой жанре по...\n",
" ... \n",
"3940 ирма повести бизнесплан аспирантки помышляла б...\n",
"3941 основная идея романа давление обстоятельств жи...\n",
"3942 небольшой горный пансионат игл нест туристичес...\n",
"3943 пола привыкла разговоры любви духовном физичес...\n",
"3944 последняя пристройка крепости мак леннан завер...\n",
"Name: cleaned_text, Length: 3691, dtype: object"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_main_no_duplicates['cleaned_text'] = data_main_no_duplicates['annotation'].apply(clean)\n",
"data_cleaned = data_main_no_duplicates['cleaned_text']\n",
"data_cleaned"
]
},
{
"cell_type": "code",
"execution_count": 55,
"id": "b7ddc1cf-6824-4b6c-9364-0f14327c96b8",
"metadata": {},
"outputs": [],
"source": [
"morph = pymorphy3.MorphAnalyzer()"
]
},
{
"cell_type": "code",
"execution_count": 58,
"id": "c4fc3c3e-92a6-4853-a399-f7ef4669b70c",
"metadata": {},
"outputs": [],
"source": [
"def lemmatize_batch(texts, batch_size=1000):\n",
" \"\"\"Лемматизация текста по батчам для ускорения.\"\"\"\n",
" lemmatized_texts = []\n",
" for i in tqdm(range(0, len(texts), batch_size)):\n",
" batch = texts[i:i+batch_size]\n",
" lemmatized_batch = [' '.join([morph.parse(word)[0].normal_form for word in text.split()]) for text in batch]\n",
" lemmatized_texts.extend(lemmatized_batch)\n",
" return lemmatized_texts\n"
]
},
{
"cell_type": "code",
"execution_count": 59,
"id": "caff9227-3d13-49f4-898a-781fd3283d2a",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"100%|█████████████████████████████████████████████| 4/4 [00:20<00:00, 5.15s/it]\n",
"/tmp/ipykernel_3152/3826416347.py:1: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" data_main_no_duplicates['lemmatized_text'] = lemmatize_batch(data_main_no_duplicates['cleaned_text'].tolist())\n"
]
}
],
"source": [
"data_main_no_duplicates['lemmatized_text'] = lemmatize_batch(data_main_no_duplicates['cleaned_text'].tolist())"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "f9271faa-f093-4f7c-9944-f822765f538c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 расследование жизнь деяние самый опорочить воз...\n",
"1 сыщик макар илюшин сергей бабкин расследовать ...\n",
"2 генрих самый трагический фигура английский пре...\n",
"3 история три знаменитый король обложка посвоему...\n",
"4 первый необычный александра маринин жанр попул...\n",
" ... \n",
"3940 ирма повесть бизнесплан аспирантка помышлять б...\n",
"3941 основный идея роман давление обстоятельство жи...\n",
"3942 небольшой горный пансионат игла несть туристич...\n",
"3943 пол привыкнуть разговор любовь духовный физиче...\n",
"3944 последний пристройка крепость мак леннана заве...\n",
"Name: lemmatized_text, Length: 3691, dtype: object"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data_main_no_duplicates['lemmatized_text']"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1158703d-4ebe-4a18-93d2-ef412363deb2",
"metadata": {},
"outputs": [],
"source": [
"data_main_no_duplicates['lemmatized_text'].to_csv('lemmatized_data')"
]
},
{
"cell_type": "markdown",
"id": "f540af02-2165-4138-b77c-88d0ef89cd3a",
"metadata": {},
"source": [
"Убрать из названия знаки препинания"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5cc96e83-9893-4dd7-ba86-c466d6fcebf0",
"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": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|