HIllaryClinton_TopicModeling_Presentation.ipynb

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   "source": [
    "##Topic Modeling using Latent-Dirichlet Allocation\n",
    "\n",
    "###Hillary Clinton's State Department Emails\n",
    "\n",
    "#### Sebastian Ramirez"
   ]
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   "source": [
    "##Background\n",
    "\n",
    "\n"
   ]
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   "source": [
    "* March 2015, the New York Times revealed that Hillary Clinton used a private email server while conducting official State Department business\n"
   ]
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    "\n",
    "* August 2015, the State Department released nearly 7,000 pages of Hillary Clinton's email"
   ]
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   "source": [
    "* Disclaimer: I am not a \"Benghazi Truther\"\n"
   ]
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   "source": [
    "* Explore basic topic modeling techniques (**LDA**)"
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    "## Word Intrusion\n",
    "Word Intrusion is an exercise where for each trained topic, a word is chosen at random and then substituted into the first ten (or five) words associated with a topic. Then if a human is able to detect which word is not appropriate for that topic it is said that the topic is coherent."
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    "|Topic|Can you identify the intruder?|\n",
    "|:-:|:-:|\n",
    "|1|office republican meet room state arrive route conference |\n",
    "|2|  israel party palestinian peace arab house|\n",
    "|3| message democrat vote senate percent elect party candidate|\n",
    "|4|koch tea right beck conference movement book |"
   ]
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    "|Topic|Can you identify the intruder?|\n",
    "|:-:|:-:|\n",
    "|1|office **republican** meet room state arrive route conference |\n",
    "|2| israel party palestinian peace arab **house**|\n",
    "|3| **message** democrat vote senate percent elect party candidate|\n",
    "|4|koch tea right beck **conference** movement book |"
   ]
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   "source": [
    "* _Word intrusion_ is a one way to evaluate whether a topic is internally consistent"
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   "source": [
    "## Preprocessing \n"
   ]
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   "source": [
    "* Non-uniform emails with extraneous words, email addresses, web addresses, and OCR errors\n"
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   "source": [
    "**Random Email #1** : Example of email with State Department footer\n",
    "\n",
    ">Hillary:\n",
    "I'm just boarding plane to Honduras and thinking of you especially with this painful tragedy in Libya.\n",
    "Warmest,\n",
    "Maria\n",
    "U.S. Department of State\n",
    "Case No. F-2015-04841\n",
    "Doc No. C05739905\n",
    "Date: 05/13/2015\n",
    "STATE DEPT. - PRODUCED TO HOUSE SELECT BENGHAZI COMM.\n",
    "SUBJECT TO AGREEMENT ON SENSITIVE INFORMATION & REDACTIONS. NO FOIA WAIVER. STATE-5CB0045242\n"
   ]
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   "source": [
    "**Random Email #2** : Example of email with nonsense word and mobile signature\n",
    "\n",
    ">sbwhoeop\n",
    ">Sunday, November 29, 2009 11:51 AM\n",
    ">H\n",
    ">Re: Another memo on backdrop to this week. Sid\n",
    ">It's there, just scroll down\n",
    ">Sent via Cingular Xpress Mail with Blackberry"
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   "source": [
    "**Random Email #3**: Example of email with email Subject in body\n",
    "\n",
    ">Brennan, John 0.\n",
    ">Subject: RE: Google and YouTube\n",
    "Sue just called back and the block will stay through Monday. They will not/not be unblocking it before then.\n",
    "Nora Toiv\n",
    "Office of the Secretary\n",
    "202-647-8633\n"
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    "## LDA \n",
    "\n",
    "LDA assumes that documents, or in our case emails, are written in following steps:\n",
    "\n",
    "1. Determine the number of words the email will have according to some distribution.\n",
    "2. Determine a mixture of K topics to be used in the email. For example, the email may be split between 'Benghazi'(50%),'House Committee' (30%), and 'Election\" (20%). These three topics also have their own distribution of words. For example:\n",
    "  * Benghazi: Qaddaffi (50%) and Libya(50%)\n",
    "  * House Committee: Boehner (50%) and Investigation(50%)\n",
    "  * Election: Polls (50%) and Vote(50%)\n",
    "3. Then to pick each word in the email you:\n",
    "  1. Pick a topic according to the distribution 'Benghazi'(50%),'House Committee' (30%), and 'Election\" (20%).\n",
    "  2. Pick a word from the topic distribution."
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    "## LDA\n",
    "\n",
    "* Ran LDA to create a four-, six-, eight- , and ten-topic models\n",
    "* Topics that were coherent and consistent across models would be labeled as good\n",
    "\n"
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    "###Four-topic Model\n",
    "\n",
    "|Topic Number| Top Words| Theme|\n",
    "|:-:|:-:|:-:|\n",
    "|1|office fyi depart room meet state arrive route| Daily Schedule|\n",
    "|2|state american new israel president one time said| ?\n",
    "|3| call thank please see get work want know| Office Requests\n",
    "|4|obama said president new democrat party state govern| ?"
   ]
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   "source": [
    "### Six-topic Model\n",
    "|Topic Number| Top Words|Theme|\n",
    "|:-:|:-:|:-:|\n",
    "|1|office depart fyi meet room state arrive route| Daily Schedule\n",
    "|2|bloomberg say think said mayor try time editorial| ?\n",
    "|3| call please thank see get work want know |Office Requests\n",
    "|4|israel isra palestinian netanyahu arab negotiate jewish peace| Israel/Palestine|\n",
    "|5|state american new president one obama govern year|?\n",
    "|6|house obama said senate white president vote bill| Congress?"
   ]
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    "### Six-topic Model\n",
    "|Topic Number| Top Words|Theme|\n",
    "|:-:|:-:|:-:|\n",
    "|1|office depart fyi meet room state arrive route| Daily Schedule\n",
    "|2|bloomberg say think said mayor try time editorial| ?\n",
    "|3| call please thank see get work want know |Office Requests\n",
    "|4|israel isra palestinian netanyahu arab negotiate jewish peace| Israel/Palestine|\n",
    "|5|state american new president one obama govern year|?\n",
    "|6|house obama said senate white president vote bill| Congress?\n",
    "\n",
    "### Eight-topic Model\n",
    "\n",
    "|Topic Number| Top Words| Theme|\n",
    "|:-:|:-:|:-:|\n",
    "|1|office depart meet room state arrive conference route|Daily Schedule\n",
    "|2|call see get work want know thank talk| Office Request \n",
    "|3|please print message copy list speech thank email|Office Request \n",
    "|4|haiti bibi state settlement assist valmoro haitian letter|? \n",
    "|5|obama said one president year american politics say|?\n",
    "|6|senate vote republican start bill richard boehner treaty|Congress\n",
    "|7|fyi party vote elect release part percent poll|Election?\n",
    "|8|state new secure israel world unit develop policy|?"
   ]
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    "### Eight-topic Model\n",
    "\n",
    "|Topic Number| Top Words| Theme|\n",
    "|:-:|:-:|:-:|\n",
    "|1|office depart meet room state arrive conference route|Daily Schedule\n",
    "|2|call see get work want know thank talk| Office Request \n",
    "|3|please print message copy list speech thank email|Office Request \n",
    "|4|haiti bibi state settlement assist valmoro haitian letter|? \n",
    "|5|obama said one president year american politics say|?\n",
    "|6|senate vote republican start bill richard boehner treaty|Congress\n",
    "|7|fyi party vote elect release part percent poll|Election?\n",
    "|8|state new secure israel world unit develop policy|?\n",
    "\n",
    "\n",
    "### Ten-topic Model\n",
    "\n",
    "|Topic Number| Top Words|Theme|\n",
    "|:-:|:-:|:-:|\n",
    "|1|office depart meet room state arrive route conference|Daily Schedule\n",
    "|2| call see get want know work thank talk|Office Request\n",
    "|3|please print message list thank qddr copy add|Office Request\n",
    "|4|release part state new team chapter valmoro branch| Redacted?\n",
    "|5|american state new president one year said obama|?\n",
    "|6|house obama white bill said president staff senate|Congress/Administration Relations\n",
    "|7|fyi israel isra party palestinian peace arab negotiate|Israel/Palestine\n",
    "|8|work develop state new policy people issue world| State Dept. Policymaking\n",
    "|9|republican democrat vote senate percent elect party candidate| Elections\n",
    "|10|koch tea right beck party movement book skousen| Far-right\n"
   ]
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   "source": [
    "### Ten-topic Model\n",
    "\n",
    "|Topic Number| Top Words|Theme|\n",
    "|:-:|:-:|:-:|\n",
    "|1|office depart meet room state arrive route conference|Daily Schedule\n",
    "|2| call see get want know work thank talk|Office Request\n",
    "|3|please print message list thank qddr copy add|Office Request\n",
    "|4|release part state new team chapter valmoro branch| Redacted?\n",
    "|5|american state new president one year said obama|?\n",
    "|6|house obama white bill said president staff senate|Congress/Administration Relations\n",
    "|7|fyi israel isra party palestinian peace arab negotiate|Israel/Palestine\n",
    "|8|work develop state new policy people issue world| State Dept. Policymaking\n",
    "|9|republican democrat vote senate percent elect party candidate| Elections\n",
    "|10|koch tea right beck party movement book skousen| Far-right"
   ]
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   "source": [
    "## Data Visualization"
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       "\n",
       "function LDAvis_load_lib(url, callback){\n",
       "  var s = document.createElement('script');\n",
       "  s.src = url;\n",
       "  s.async = true;\n",
       "  s.onreadystatechange = s.onload = callback;\n",
       "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
       "  document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "}\n",
       "\n",
       "if(typeof(LDAvis) !== \"undefined\"){\n",
       "   // already loaded: just create the visualization\n",
       "   !function(LDAvis){\n",
       "       new LDAvis(\"#\" + \"ldavis_el266344822818085176440405\", ldavis_el266344822818085176440405_data);\n",
       "   }(LDAvis);\n",
       "}else if(typeof define === \"function\" && define.amd){\n",
       "   // require.js is available: use it to load d3/LDAvis\n",
       "   require.config({paths: {d3: \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\"}});\n",
       "   require([\"d3\"], function(d3){\n",
       "      window.d3 = d3;\n",
       "      LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
       "        new LDAvis(\"#\" + \"ldavis_el266344822818085176440405\", ldavis_el266344822818085176440405_data);\n",
       "      });\n",
       "    });\n",
       "}else{\n",
       "    // require.js not available: dynamically load d3 & LDAvis\n",
       "    LDAvis_load_lib(\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js\", function(){\n",
       "         LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
       "                 new LDAvis(\"#\" + \"ldavis_el266344822818085176440405\", ldavis_el266344822818085176440405_data);\n",
       "            })\n",
       "         });\n",
       "}\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%run ./tenTopicViz.py\n",
    "pyLDAvis.display(vis_data)"
   ]
  }
 ],
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