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Sentence tfidf calculated #2

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135 changes: 97 additions & 38 deletions Text Summarisation.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
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Expand All @@ -14,7 +14,7 @@
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Expand All @@ -27,7 +27,7 @@
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Expand All @@ -36,7 +36,7 @@
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Expand All @@ -45,7 +45,7 @@
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Expand All @@ -62,7 +62,7 @@
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Expand All @@ -80,7 +80,7 @@
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Expand Down Expand Up @@ -127,7 +127,7 @@
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Expand Down Expand Up @@ -166,7 +166,7 @@
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Expand Down Expand Up @@ -463,7 +463,7 @@
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Expand All @@ -482,7 +482,7 @@
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Expand All @@ -500,7 +500,7 @@
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Expand All @@ -519,7 +519,7 @@
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Expand All @@ -536,7 +536,7 @@
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Expand All @@ -557,7 +557,7 @@
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Expand All @@ -571,7 +571,7 @@
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Expand Down Expand Up @@ -662,7 +662,7 @@
" 'actually, it is immaterial to my argument whether all the\\ncomplements hang from the same node or whether they, too, are introduced\\nby binary branching, like the adjuncts.']"
]
},
"execution_count": 19,
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
Expand All @@ -673,7 +673,7 @@
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Expand All @@ -695,7 +695,7 @@
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Expand Down Expand Up @@ -811,7 +811,7 @@
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Expand Down Expand Up @@ -1171,7 +1171,7 @@
},
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"execution_count": 20,
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{
Expand All @@ -1188,7 +1188,7 @@
},
{
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"execution_count": 21,
"metadata": {},
"outputs": [
{
Expand All @@ -1205,7 +1205,7 @@
},
{
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"execution_count": 22,
"metadata": {},
"outputs": [
{
Expand All @@ -1222,7 +1222,7 @@
},
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"execution_count": 23,
"metadata": {},
"outputs": [
{
Expand All @@ -1243,31 +1243,90 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 139,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<1x443 sparse matrix of type '<class 'numpy.float64'>'\n",
"\twith 19 stored elements in Compressed Sparse Row format>"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'scipy.sparse.csr.csr_matrix'>\n"
]
}
],
"source": [
"X[0]"
"print(type(X[35,:]))"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 140,
"metadata": {},
"outputs": [],
"source": []
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n"
]
}
],
"source": [
"print((X[35,:].toarray()[0]))"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0.2133141289945213, 0.19268349217056602, 0.23567236548378917, 0.20918963054521372, 0.20414163476852237, 0.2142031418888816, 0.2953940191257623, 0.3190722211068253, 0.24766883854585858, 0.24359008885419822, 0.2691392393632223, 0.21792781559904986, 0.4409236974794452, 0.2003291117020829, 0.141093056522983, 0.3013860982971811, 0.2648058357549551, 0.154810820419545, 0.22094264628922314, 0.19597742106773774, 0.12235705255435296, 0.3420746571230864, 0.7068189089897328, 0.18711131675460949, 0.17564167393574218, 0.1600690831192614, 0.14707137788350813, 0.24855083679987244, 0.31842509242552686, 0.3622285702824559, 0.20744839403144236, 0.2915297848121885, 0.25615439420276653, 0.32492545860541067, 0.3372416580862453, 0, 0.21810916095415211, 0, 0.25201721754566336, 0.1168623335134955, 0.1850542899139658, 0.4340132904839581, 0.2558776048492524, 0, 0.23871620079008612, 0, 0.21505914004381577, 0.188702608551362, 0.2473621280450456, 0.17103202855623842, 0.30282806549952346, 0.447213595499958, 0.7071067811865475, 0.3616038758957919, 0.44575716620707667, 0.24363129254497012, 0.4977539498337, 0.3950854623715471, 0.4977539498337, 0.31133778533740636, 0.4977539498337, 0.4015513269236906, 0.5768478040843482, 0.5773502691896257, 0.39184457982347703, 0.3697810962297591, 0.43673030234484533, 0.5503728292507438, 0.7071067811865475, 0.3936975574505491, 0.4996381244664003, 0.3656381806345497, 0.7071067811865475, 0.37744343499577615, 0.7071067811865475, 0.21557143081821167, 0.5603565195423051, 0.41760955902435687, 0.19846903596500826, 0.22973631970082772, 0.19687072052499346]\n"
]
}
],
"source": [
"sent_tfid = []\n",
"for i in range(X.shape[0]):\n",
" count = 0\n",
" sum_row = 0\n",
" #k = X[i,:].toarray()\n",
" for j in range(X.shape[1]):\n",
" if X[i,:].toarray()[0][j] != 0:\n",
" sum_row += X[i,:].toarray()[0][j]\n",
" count += 1\n",
" try: \n",
" div_ans = sum_row / count\n",
" except:\n",
" div_ans = 0\n",
" #print(i)\n",
" sent_tfid.append(div_ans)\n",
"print(sent_tfid)\n",
" \n",
" \n",
" "
]
}
],
"metadata": {
Expand Down