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@seanjtaylor
Created October 22, 2017 02:20
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{
"cells": [
{
"cell_type": "code",
"execution_count": 130,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import requests\n",
"import json\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pylab as plt\n",
"\n",
"from sklearn.feature_extraction.text import CountVectorizer\n",
"from sklearn.linear_model import Lasso\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.model_selection import GridSearchCV\n",
"\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"url = 'https://9p8f5cw3u7-dsn.algolia.net/1/indexes/tweets/query?x-algolia-agent=Algolia%20for%20vanilla%20JavaScript%203.21.1&x-algolia-application-id=9P8F5CW3U7&x-algolia-api-key=3ecdf0a9123006c6ccae27125cd090aa'\n",
"resp = requests.post(url, data=json.dumps({\n",
"'params': 'query=&hitsPerPage=1500&page=0'\n",
"}))"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"doc = resp.json()"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {},
"outputs": [],
"source": [
"vec = CountVectorizer()\n",
"X = vec.fit_transform(h['text'] for h in doc['hits'])\n",
"y_dem = np.array([h['data']['Democrat']['score'] for h in doc['hits']])\n",
"y_rep = np.array([h['data']['Republican']['score'] for h in doc['hits']])\n",
"y_ind = np.array([h['data']['Independent']['score'] for h in doc['hits']])"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [],
"source": [
"dfs = []\n",
"for y, source in [(y_dem, 'dem'), (y_rep, 'rep'), (y_ind, 'ind')]:\n",
" X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1)\n",
" m = GridSearchCV(Lasso(), [{'alpha': np.linspace(.01, 1, 10)}], cv=5, scoring='neg_mean_absolute_error')\n",
" m.fit(X_train, y_train)\n",
" beta = m.best_estimator_.fit(X,y).coef_\n",
" df = pd.DataFrame([{'term': key, 'score': beta[ix], 'source': source} for key, ix in vec.vocabulary_.items()])\n",
" dfs.append(df)"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(48, 3)"
]
},
"execution_count": 128,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.concat(dfs)\n",
"wide = df.set_index('term').pivot(columns = 'source', values = 'score')\n",
"nonzero = wide[np.abs(wide.dem + wide.ind + wide.rep) > 20]\n",
"nonzero.shape"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {},
"outputs": [
{
"data": {
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DVq1aAXD//feTlpZm/Sw0NJS4uDjOnTvH8OHDCQwMxM/Pj7Vr1wKQlpZGYGAgFosFHx8f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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11599a160>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(10, 10))\n",
"\n",
"ax.scatter(nonzero.rep, nonzero.dem)\n",
"\n",
"x = np.linspace(min(nonzero.rep), max(nonzero.rep))\n",
"line1, = ax.plot(x, np.zeros(50), '--', linewidth=2)\n",
"y = np.linspace(min(nonzero.dem), max(nonzero.dem))\n",
"line2, = ax.plot(np.zeros(50), y, '--', linewidth=2)\n",
"\n",
"\n",
"ax.set_xlabel('Republican Score')\n",
"ax.set_ylabel('Democrat Score')\n",
"\n",
"for ix, row in nonzero.reset_index().iterrows():\n",
" ax.annotate(row.term, (row.rep + 0.5, row.dem + 0.5))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.6.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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