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moshanATucsd/word_cloud.ipynb Secret

Created June 9, 2020 19:35
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word_cloud.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "word_cloud.ipynb",
"provenance": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/moshanATucsd/3551e51c39ca35cef394618b0e7b2fc3/word_cloud.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "pWeuPSSj69nd",
"colab_type": "text"
},
"source": [
"references: [ref1](https://github.com/jackzhenguo/python-small-examples), [ref2](https://www.cnblogs.com/lsdb/p/9199037.html)"
]
},
{
"cell_type": "code",
"metadata": {
"id": "7xp-e1_I6uy5",
"colab_type": "code",
"outputId": "44743856-7d11-4383-b14c-8f25f874c902",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 187
}
},
"source": [
"!pip install pdfminer3k"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"Requirement already satisfied: pdfminer3k in /usr/local/lib/python3.6/dist-packages (1.3.1)\n",
"Requirement already satisfied: pytest>=2.0 in /usr/local/lib/python3.6/dist-packages (from pdfminer3k) (3.6.4)\n",
"Requirement already satisfied: ply>=3.4 in /usr/local/lib/python3.6/dist-packages (from pdfminer3k) (3.11)\n",
"Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.6/dist-packages (from pytest>=2.0->pdfminer3k) (19.3.0)\n",
"Requirement already satisfied: py>=1.5.0 in /usr/local/lib/python3.6/dist-packages (from pytest>=2.0->pdfminer3k) (1.8.0)\n",
"Requirement already satisfied: pluggy<0.8,>=0.5 in /usr/local/lib/python3.6/dist-packages (from pytest>=2.0->pdfminer3k) (0.7.1)\n",
"Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from pytest>=2.0->pdfminer3k) (1.12.0)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from pytest>=2.0->pdfminer3k) (42.0.2)\n",
"Requirement already satisfied: atomicwrites>=1.0 in /usr/local/lib/python3.6/dist-packages (from pytest>=2.0->pdfminer3k) (1.3.0)\n",
"Requirement already satisfied: more-itertools>=4.0.0 in /usr/local/lib/python3.6/dist-packages (from pytest>=2.0->pdfminer3k) (8.0.2)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "SsuOgFvL3rPk",
"colab_type": "code",
"colab": {}
},
"source": [
"from urllib.request import urlopen\n",
"from pdfminer.pdfinterp import process_pdf, PDFResourceManager\n",
"from io import StringIO\n",
"from pdfminer.layout import LAParams\n",
"from pdfminer.converter import TextConverter\n",
"import matplotlib.pyplot as plt\n",
"from wordcloud import WordCloud"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "ZbkckIAJ4wa6",
"colab_type": "code",
"colab": {}
},
"source": [
"class MyWordCloud():\n",
" def __init__(self):\n",
" pass \n",
"\n",
" def getPdfText(self, pdf_url):\n",
" pdf_file_obj = urlopen(pdf_url)\n",
" pdf_rm = PDFResourceManager()\n",
" ret_str = StringIO()\n",
" lap = LAParams()\n",
" tc = TextConverter(pdf_rm, ret_str, laparams=lap)\n",
"\n",
" process_pdf(pdf_rm, tc, pdf_file_obj)\n",
" tc.close()\n",
" pdf_text = ret_str.getvalue()\n",
" ret_str.close()\n",
"\n",
" return pdf_text\n",
"\n",
" def genWordCloud(self, pdf_url_list):\n",
" pdf_text = ''\n",
"\n",
" for pdf_url in pdf_url_list:\n",
" pdf_text += self.getPdfText(pdf_url)\n",
"\n",
" wc = WordCloud(\n",
" background_color=\"white\", \n",
" max_words=10, \n",
" min_font_size=50,\n",
" max_font_size=200,\n",
" width=1000 \n",
" ).generate(pdf_text)\n",
"\n",
" plt.imshow(wc, interpolation=\"bilinear\")\n",
" plt.axis(\"off\")\n",
" plt.show()"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "xHYHgWWS3vos",
"colab_type": "code",
"outputId": "66566e38-f7e9-4e4b-d47b-12baaa0ce99d",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
}
},
"source": [
"if __name__ == '__main__':\n",
" pdf_url_list = []\n",
"\n",
" pdf_url = 'https://arxiv.org/pdf/1703.10125.pdf'\n",
" pdf_url_list.append(pdf_url)\n",
"\n",
" pdf_url = 'https://arxiv.org/pdf/1707.02069.pdf'\n",
" pdf_url_list.append(pdf_url)\n",
"\n",
" pdf_url = 'https://moshanatucsd.github.io/pdfs/paper/scr2019.pdf'\n",
" pdf_url_list.append(pdf_url)\n",
"\n",
" pdf_url = 'https://moshanatucsd.github.io/pdfs/presentation/vio_project.pdf'\n",
" pdf_url_list.append(pdf_url)\n",
"\n",
" pdf_url = 'https://www.ece.nus.edu.sg/stfpage/eleclf/Block-sparse%20RPCA%20for%20Consistent%20Foregroud%20Detection.pdf'\n",
" pdf_url_list.append(pdf_url)\n",
"\n",
" mwc = MyWordCloud()\n",
" mwc.genWordCloud(pdf_url_list)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
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X+zy9eJFyTC51lKrKk0WW1cpANELLkH9CxblgPE7joA9J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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": []
}
}
]
}
]
}
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