SemanticHistory.ipynb

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    "# The History of Semantic Spaces\n",
    "\n",
    "Google's [Ngram viewer](https://books.google.com/ngrams/) is awesome. Among other things, it's useful for studying historical interest in particular ideas. The [2011 _Science_ paper](http://www.sciencemag.org/content/331/6014/176.full.pdf) has some fascinating examples of this. Here's one of the _least_ impressive examples from that paper:\n",
    "\n",
    "![ngram example](figures/ngram_example1.png)\n",
    "\n",
    "The problem with this approach is that it's impossible to tell the difference between intrest in the _idea_ of God and usage of the _word_ \"God\". This is elegantly demonstrated with another example from that paper:\n",
    "\n",
    "![ngram example](figures/ngram_example2.png)\n",
    "\n",
    "If we had searched only for \"the Great War\", we might have thought that interest in that topic waned after the start of World War II. The truth, though, is that people became _more_ interested in the Great War. They just started calling it \"World War I\" instead.\n",
    "\n",
    "The _Science_ paper shows off some elegant solutions to this problem, but all are both extremely labor-intensive and applicable only to the question they were designed to answer. Wouldn't it be nice to have an automated way to search for _semantic spaces_ rather than having to guess at the particular Ngrams that represent them?\n",
    "\n",
    "I think I can make that happen.\n",
    "## The Plan\n",
    "My plan is to leverage cutting-edge semantic embeddings to generate a list of closely related words from a search term. Then I'll get timeseries data from the Ngram viewer for each of those words. Finally, I'll aggredate the data across words in the set, weighting them by their semantic similarity to the search term. This weighted sum will thus give an account of historical interest in the whole semantic space surrounding the search term.\n",
    "\n",
    "## Step 1: Defining Semantic Spaces\n",
    "The first step is to get a list of closely related words, along with a quantification of their semantic similarity to the target. This is made trivial by the `gensim` package, which comes with a number of pretrained model vector embeddings. I'll use the \"glove-wiki-gigaword-200\" dataset, which is trained on Wikipedia (as it was in 2014) and the Gigaword newswire archive. As such, it provide a reasonable estimate of the kind of associations I (as a literate person living around 2014) might have with any given word - with some bias toward newsworthiness."
   ]
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   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import gensim.downloader as gs\n",
    "\n",
    "glove_vectors = gs.load('glove-wiki-gigaword-200')\n",
    "glove_vectors.sort_by_descending_frequency()"
   ]
  },
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   "cell_type": "markdown",
   "id": "958c74eb-f7e6-4333-80d4-3e18c7ce6608",
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   "source": [
    "Now we can get our list of most closely related words. For now I'm not going to worry about exactly what \"closely related\" means, but this will become important later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "7d311ba0-77cd-4fc2-bd7a-2ef2ff290f45",
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    {
     "data": {
      "text/plain": [
       "[('mathematics', 0.768941342830658),\n",
       " ('physics', 0.6959351301193237),\n",
       " ('biology', 0.6668677926063538),\n",
       " ('teaching', 0.6357982158660889),\n",
       " ('curriculum', 0.635124921798706),\n",
       " ('chemistry', 0.6340017318725586),\n",
       " ('sciences', 0.6332299709320068),\n",
       " ('education', 0.6304562091827393),\n",
       " ('graduate', 0.626822829246521),\n",
       " ('academic', 0.6119447350502014)]"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "glove_vectors.most_similar(['science', 'math'], topn = 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccb54036-ec28-4317-96ff-d3e3939106bc",
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   "source": [
    "## Step 2: Scraping\n",
    "The next prerequisite is the ability to get ngram data with code. The code below does this, outputing a nicely formated pandas DataFrame with a column for each ngram."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4017e3e4-fbd4-424c-9f04-4e36f1521e15",
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   "source": [
    "import requests\n",
    "\n",
    "def get_ngrams(query, start_year = 1800, end_year = 2019):\n",
    "    # Define Parameters for Request\n",
    "    params = {\n",
    "    \"content\": query,\n",
    "    \"year_start\": start_year,\n",
    "    \"year_end\": end_year\n",
    "    }\n",
    "    headers = {\n",
    "    \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/98.0.4758.87 Safari/537.36\",\n",
    "    }\n",
    "    # Make Request\n",
    "    html = requests.get(\"https://books.google.com/ngrams/json\", params=params, headers=headers, timeout=30).text\n",
    "    \n",
    "    # Clean Data\n",
    "    df = pd.read_json(html)\n",
    "    df = pd.DataFrame(df['timeseries'].tolist(), columns = np.arange(params['year_start'], params['year_end']+1), index = df['ngram'])\n",
    "    df.index.name = \"year\"\n",
    "    df = df.transpose()\n",
    "    return df"
   ]
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   "cell_type": "code",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>year</th>\n",
       "      <th>the Great War</th>\n",
       "      <th>World War I</th>\n",
       "      <th>World War II</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1800</th>\n",
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       "      <td>1.477712e-07</td>\n",
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       "      <td>7.179222e-09</td>\n",
       "      <td>6.514330e-08</td>\n",
       "      <td>1.182169e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1802</th>\n",
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       "      <td>3.009015e-08</td>\n",
       "      <td>5.482785e-08</td>\n",
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       "year  the Great War   World War I  World War II\n",
       "1800   8.974027e-09  8.142913e-08  1.477712e-07\n",
       "1801   7.179222e-09  6.514330e-08  1.182169e-07\n",
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       "1804   4.345168e-09  3.009015e-08  5.482785e-08"
      ]
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     "execution_count": 10,
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   "source": [
    "df = get_ngrams(\"the Great War, World War I, World War II\")\n",
    "df.head()"
   ]
  },
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   "cell_type": "markdown",
   "id": "f1cc1627-b52a-4a09-ad9d-0629fd7e1ccf",
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   "source": [
    "## Step 3: Putting it Together\n",
    "\n",
    "The class `SemanticHistory` takes as input a search term (or list of terms whose vector embeddings are to be averaged) and generates a list of similar words (100 by default) along with their cosine similarity to the input, `self.most_similar`. It feeds this list of words into the Ngram viewer, and creates a dataframe with weighted frequencies for each word in the list, `self.raw_data`. The `plot` method displays a stacked area plot."
   ]
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   "cell_type": "code",
   "execution_count": 242,
   "id": "ec6cdc18-daff-4e35-a5f2-7eeaebf028aa",
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   "source": [
    "import plotly.express as px\n",
    "\n",
    "class SemanticHistory:\n",
    "    def __init__(self, search = [], sample_n = 20, start_year = 1800, end_year = 2019):\n",
    "        if type(search) == list:\n",
    "            self.search = [str.lower(str(s)) for s in list(search)]\n",
    "        else:\n",
    "            self.search = [str.lower(str(search))]\n",
    "        self.sample_n = sample_n\n",
    "\n",
    "        if not any(\" \" in s for s in search):\n",
    "            self.most_similar = glove_vectors.most_similar(self.search, topn = sample_n)\n",
    "            words = self.search + [word[0] for word in self.most_similar]\n",
    "            similarities = [1]*len(self.search) + [word[1] for word in self.most_similar]\n",
    "            query = ', '.join(words)\n",
    "            self.raw_data = get_ngrams(query, start_year, end_year)\n",
    "            self.data = self.raw_data.multiply(similarities).sum(axis = 1)\n",
    "        else:\n",
    "            raise Exception(\"Input must be a single word or list of single words.\")\n",
    "    def plot(self):\n",
    "        fig = px.area(self.raw_data.iloc[:, :10],\n",
    "                      labels = {'value':'Weighted Frequency', 'year':'Word', 'index':'Year'},\n",
    "                      template = 'plotly_white')\n",
    "        fig.update_layout(legend=dict(title=None))\n",
    "        fig.show()"
   ]
  },
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   "execution_count": 243,
   "id": "7acabf80-b23b-4d6f-8d60-77b2da59878b",
   "metadata": {},
   "outputs": [],
   "source": [
    "food_history = SemanticHistory(search = \"Food\")"
   ]
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