Topic Modeling 2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "smooth-thompson",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2021-03-14 21:16:38.951053: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n",
      "2021-03-14 21:16:38.951106: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n",
      "Requirement already satisfied: en-core-web-sm==3.0.0 from https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0-py3-none-any.whl#egg=en_core_web_sm==3.0.0 in /home/erik/.local/lib/python3.8/site-packages (3.0.0)\n",
      "Requirement already satisfied: spacy<3.1.0,>=3.0.0 in /home/erik/.local/lib/python3.8/site-packages (from en-core-web-sm==3.0.0) (3.0.3)\n",
      "Requirement already satisfied: srsly<3.0.0,>=2.4.0 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (2.4.0)\n",
      "Requirement already satisfied: wasabi<1.1.0,>=0.8.1 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (0.8.2)\n",
      "Requirement already satisfied: numpy>=1.15.0 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (1.19.5)\n",
      "Requirement already satisfied: setuptools in /usr/lib/python3/dist-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (45.2.0)\n",
      "Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (1.0.5)\n",
      "Requirement already satisfied: packaging>=20.0 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (20.8)\n",
      "Requirement already satisfied: requests<3.0.0,>=2.13.0 in /usr/lib/python3/dist-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (2.22.0)\n",
      "Requirement already satisfied: cymem<2.1.0,>=2.0.2 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (2.0.5)\n",
      "Requirement already satisfied: preshed<3.1.0,>=3.0.2 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (3.0.5)\n",
      "Requirement already satisfied: thinc<8.1.0,>=8.0.0 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (8.0.1)\n",
      "Requirement already satisfied: typer<0.4.0,>=0.3.0 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (0.3.2)\n",
      "Requirement already satisfied: spacy-legacy<3.1.0,>=3.0.0 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (3.0.1)\n",
      "Requirement already satisfied: jinja2 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (2.11.2)\n",
      "Requirement already satisfied: pydantic<1.8.0,>=1.7.1 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (1.7.3)\n",
      "Requirement already satisfied: catalogue<2.1.0,>=2.0.1 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (2.0.1)\n",
      "Requirement already satisfied: pathy in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (0.4.0)\n",
      "Requirement already satisfied: tqdm<5.0.0,>=4.38.0 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (4.56.0)\n",
      "Requirement already satisfied: blis<0.8.0,>=0.4.0 in /home/erik/.local/lib/python3.8/site-packages (from spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (0.7.4)\n",
      "Requirement already satisfied: pyparsing>=2.0.2 in /home/erik/.local/lib/python3.8/site-packages (from packaging>=20.0->spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (2.4.7)\n",
      "Requirement already satisfied: click<7.2.0,>=7.1.1 in /home/erik/.local/lib/python3.8/site-packages (from typer<0.4.0,>=0.3.0->spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (7.1.2)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /usr/lib/python3/dist-packages (from jinja2->spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (1.1.0)\n",
      "Requirement already satisfied: smart-open<4.0.0,>=2.2.0 in /home/erik/.local/lib/python3.8/site-packages (from pathy->spacy<3.1.0,>=3.0.0->en-core-web-sm==3.0.0) (3.0.0)\n",
      "\u001b[38;5;2m✔ Download and installation successful\u001b[0m\n",
      "You can now load the package via spacy.load('en_core_web_sm')\n"
     ]
    }
   ],
   "source": [
    "#!/usr/bin/python3 -m pip install spacy\n",
    "#!/usr/bin/python3 -m spacy download en_core_web_sm \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "understanding-murray",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from numpy import linspace, loadtxt, ones, convolve\n",
    "import pandas as pd\n",
    "#import pickle\n",
    "import json\n",
    "import os\n",
    "import nltk\n",
    "from nltk import RegexpTokenizer\n",
    "#from collections import Counter\n",
    "import re\n",
    "from datetime import datetime\n",
    "import time\n",
    "#from scipy.signal import savgol_filter\n",
    "import string\n",
    "import spacy\n",
    "nlp = spacy.load(\"en_core_web_sm\")\n",
    "\n",
    "from gensim import matutils, models\n",
    "import scipy.sparse\n",
    "\n",
    "import logging\n",
    "logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "animated-clearance",
   "metadata": {},
   "outputs": [],
   "source": [
    "global_path = '~/Desktop/Datasets/art/art_writing'\n",
    "path = 'artnet_articles'\n",
    "#path = 'artnet_articles'\n",
    "#path = 'artnet_articles'\n",
    "folderpath = os.path.expanduser(os.path.join(global_path, path))\n",
    "\n",
    "filelist = os.listdir(folderpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "innovative-receptor",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>author</th>\n",
       "      <th>para</th>\n",
       "      <th>pubtime</th>\n",
       "      <th>title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Artnet News</td>\n",
       "      <td>Art Industry News is a daily digest of the mos...</td>\n",
       "      <td>2019-03-20 13:16:19</td>\n",
       "      <td>Art Industry News: Obama Portraitist Kehinde W...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Caroline Goldstein</td>\n",
       "      <td>In another installment of our series investiga...</td>\n",
       "      <td>2019-11-08 17:18:05</td>\n",
       "      <td>See the Poetic, Heartbreaking Final Paintings ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brian Boucher</td>\n",
       "      <td>As museum acquisitions grow, and amid a balloo...</td>\n",
       "      <td>2016-08-12 15:21:58</td>\n",
       "      <td>From Auschwitz Drawings to Teddy Bears, ‘The K...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Vivienne Chow</td>\n",
       "      <td>On June 30, the eve of the 23rd anniversary of...</td>\n",
       "      <td>2020-07-16 12:59:43</td>\n",
       "      <td>Beijing Is Clamping Down on ‘Subversive’ Activ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Taylor Dafoe</td>\n",
       "      <td>A year ago, artist Allison Zuckerman was 26, f...</td>\n",
       "      <td>2017-12-05 14:14:32</td>\n",
       "      <td>Behind Artist Allison Zuckerman’s Rapid Rise F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Kenny Schachter</td>\n",
       "      <td>New York, New York Back in New York, I attende...</td>\n",
       "      <td>2016-09-23 20:00:22</td>\n",
       "      <td>Kenny Schachter’s Dealer Diary: Of Art and Car...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Brian Boucher</td>\n",
       "      <td>In a 1964 conversation with New Yorker scribe ...</td>\n",
       "      <td>2017-10-03 05:00:39</td>\n",
       "      <td>Has Duchamp’s Final Work Harbored a Secret for...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Artnet News</td>\n",
       "      <td>This week is Koons Week New York, with Split-R...</td>\n",
       "      <td>2014-06-24 16:06:09</td>\n",
       "      <td>The Wisdom of Jeff Koons in 6 Easy Quotes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Eileen Kinsella Tim Schneider</td>\n",
       "      <td>Just over a decade ago, the high-flying art ma...</td>\n",
       "      <td>2019-09-25 06:00:15</td>\n",
       "      <td>Is the Art Market Headed for Another Recession...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Sarah Cascone</td>\n",
       "      <td>As much of the world hunkers down, practicing ...</td>\n",
       "      <td>2020-03-25 05:00:03</td>\n",
       "      <td>10 More Recipes From Famous Artists Who Are Ge...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 4 columns</p>\n",
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      "text/plain": [
       "                           author  \\\n",
       "0                     Artnet News   \n",
       "1              Caroline Goldstein   \n",
       "2                   Brian Boucher   \n",
       "3                   Vivienne Chow   \n",
       "4                    Taylor Dafoe   \n",
       "..                            ...   \n",
       "95                Kenny Schachter   \n",
       "96                  Brian Boucher   \n",
       "97                    Artnet News   \n",
       "98  Eileen Kinsella Tim Schneider   \n",
       "99                  Sarah Cascone   \n",
       "\n",
       "                                                 para             pubtime  \\\n",
       "0   Art Industry News is a daily digest of the mos... 2019-03-20 13:16:19   \n",
       "1   In another installment of our series investiga... 2019-11-08 17:18:05   \n",
       "2   As museum acquisitions grow, and amid a balloo... 2016-08-12 15:21:58   \n",
       "3   On June 30, the eve of the 23rd anniversary of... 2020-07-16 12:59:43   \n",
       "4   A year ago, artist Allison Zuckerman was 26, f... 2017-12-05 14:14:32   \n",
       "..                                                ...                 ...   \n",
       "95  New York, New York Back in New York, I attende... 2016-09-23 20:00:22   \n",
       "96  In a 1964 conversation with New Yorker scribe ... 2017-10-03 05:00:39   \n",
       "97  This week is Koons Week New York, with Split-R... 2014-06-24 16:06:09   \n",
       "98  Just over a decade ago, the high-flying art ma... 2019-09-25 06:00:15   \n",
       "99  As much of the world hunkers down, practicing ... 2020-03-25 05:00:03   \n",
       "\n",
       "                                                title  \n",
       "0   Art Industry News: Obama Portraitist Kehinde W...  \n",
       "1   See the Poetic, Heartbreaking Final Paintings ...  \n",
       "2   From Auschwitz Drawings to Teddy Bears, ‘The K...  \n",
       "3   Beijing Is Clamping Down on ‘Subversive’ Activ...  \n",
       "4   Behind Artist Allison Zuckerman’s Rapid Rise F...  \n",
       "..                                                ...  \n",
       "95  Kenny Schachter’s Dealer Diary: Of Art and Car...  \n",
       "96  Has Duchamp’s Final Work Harbored a Secret for...  \n",
       "97          The Wisdom of Jeff Koons in 6 Easy Quotes  \n",
       "98  Is the Art Market Headed for Another Recession...  \n",
       "99  10 More Recipes From Famous Artists Who Are Ge...  \n",
       "\n",
       "[100 rows x 4 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = {}\n",
    "data = pd.DataFrame(data)\n",
    "\n",
    "cleaned_titles = []\n",
    "cleaned_paras = []\n",
    "brought_in = 0\n",
    "\n",
    "for file in filelist: #[:100]:\n",
    "    #file = filelist.sample(1000)\n",
    "    filepath = os.path.join(folderpath, file)\n",
    "    f = open(filepath) #, encoding='ascii', errors='ignore')\n",
    "    try:\n",
    "        j_import = json.load(f)\n",
    "        j_import = j_import[0]\n",
    "        #print(j_import)\n",
    "        #title = j_import['title']\n",
    "        try:\n",
    "            para = j_import['para']\n",
    "            para = para[0]\n",
    "            tokenizer = RegexpTokenizer(r'\\w+')\n",
    "            tokens = tokenizer.tokenize(para)\n",
    "            #print(tokens)\n",
    "            count = len(tokens)\n",
    "            if count > 1000 and brought_in < 100:\n",
    "                tokens =[]\n",
    "                brought_in += 1\n",
    "                \n",
    "                para = para.replace(\"\t\", \"\").replace(\"Follow  on Facebook:\", '').replace(\"\\n\", ' ')\n",
    "                para = para.replace(\"\\r\" , \" \")\n",
    "                para = para.strip()\n",
    "                #print(para)\n",
    "\n",
    "                title = j_import['title']\n",
    "                title = title.replace(\"\t\", \"\").replace(\"\\n\", ' ')\n",
    "                title = title.replace(\"\\r\" , \" \")\n",
    "                title = title.strip()\n",
    "\n",
    "                author = j_import['author']\n",
    "                author = author.replace(\"\t\", \"\").replace(\"\\n\", ' ')\n",
    "                author = author.replace(\"\\r\" , \" \")\n",
    "                author = author.strip()\n",
    "\n",
    "                pubtime_i = j_import['pubtime']\n",
    "                pubtime_i = pubtime_i[:19]\n",
    "\n",
    "                pubtime = datetime(*time.strptime(pubtime_i, \"%Y-%m-%dT%H:%M:%S\")[:6])\n",
    "\n",
    "                new_row = {\"title\" : title , \"para\" : para , \"author\": author ,\n",
    "                           \"pubtime\" : pubtime }\n",
    "                data = data.append(new_row, ignore_index=True)\n",
    "                f.close()\n",
    "            else:\n",
    "                pass\n",
    "\n",
    "        except KeyError:\n",
    "            f.close()\n",
    "            pass\n",
    "\n",
    "    except json.decoder.JSONDecodeError:\n",
    "        f.close()\n",
    "        pass\n",
    "\n",
    "#data = data.set_index('title')\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "social-fifth",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rule\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "add_entity() takes exactly 3 positional arguments (1 given)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-14-bfc7e7bee61b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     13\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlabel_\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'ORG'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m             \u001b[0morgs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m             \u001b[0mkb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_entity\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mentity\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     16\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.local/lib/python3.8/site-packages/spacy/kb.pyx\u001b[0m in \u001b[0;36mspacy.kb.KnowledgeBase.add_entity\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: add_entity() takes exactly 3 positional arguments (1 given)"
     ]
    }
   ],
   "source": [
    "lemmatizer = nlp.get_pipe(\"lemmatizer\")\n",
    "print(lemmatizer.mode)  # 'rule'\n",
    "\n",
    "from spacy.kb import KnowledgeBase\n",
    "vocab = nlp.vocab\n",
    "kb = KnowledgeBase(vocab=vocab, entity_vector_length=64)\n",
    "\n",
    "orgs = []\n",
    "for article in data['para'][:1]: \n",
    "    doc = nlp(article)\n",
    "    for e in doc.ents:\n",
    "        #ents = [(e.text, e.label_, e.kb_id_) \n",
    "        if e.label_ == 'ORG':\n",
    "            orgs.append(e.text)\n",
    "            \n",
    "\n",
    "    \n",
    "print(orgs)   \n",
    "    \n",
    "    \n",
    "    \n",
    "    #displacy.serve(doc, style=\"ent\")\n",
    "    \n",
    "    \n",
    "    #for ent in doc.ents:\n",
    "        #print(ent.text, ent.start_char, ent.end_char, ent.label_)\n",
    "    #for token in doc:\n",
    "        #lemm = token.lemma_()\n",
    "        #print(lemm)\n",
    "        #print(token.text, token.lemma_, token.pos_, token.tag_, token.dep_, token.shape_, token.is_alpha, token.is_stop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ruled-ghana",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "persistent-costa",
   "metadata": {},
   "outputs": [],
   "source": []
  },
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