mirror of
https://github.com/gsi-upm/sitc
synced 2024-12-22 03:38:13 +00:00
added import nltk
This commit is contained in:
cif2cif
parent
c55a1c077b
commit
b24f866056
@ -102,7 +102,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.1+"
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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@ -76,7 +76,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 1,
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"metadata": {
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"collapsed": true
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},
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@ -145,7 +145,6 @@
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"plt.hist(iris.target, bins=10)\n",
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"plt.xlabel('Number of species')\n",
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"plt.ylabel('iris class')\n"
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]
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},
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{
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@ -379,7 +378,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.1+"
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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@ -3838,7 +3838,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.1"
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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@ -924,7 +924,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.1+"
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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@ -5403,7 +5403,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.1+"
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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@ -4763,7 +4763,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.4.3+"
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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@ -114,7 +114,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.1+"
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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@ -1170,7 +1170,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.1+"
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"version": "3.5.2"
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}
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},
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"nbformat": 4,
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@ -162,157 +162,13 @@
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"$: dollar\n",
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" $ -$ --$ A$ C$ HK$ M$ NZ$ S$ U.S.$ US$\n",
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"'': closing quotation mark\n",
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" ' ''\n",
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"(: opening parenthesis\n",
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" ( [ {\n",
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"): closing parenthesis\n",
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" ) ] }\n",
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",: comma\n",
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" ,\n",
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"--: dash\n",
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" --\n",
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".: sentence terminator\n",
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" . ! ?\n",
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":: colon or ellipsis\n",
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" : ; ...\n",
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"CC: conjunction, coordinating\n",
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" & 'n and both but either et for less minus neither nor or plus so\n",
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" therefore times v. versus vs. whether yet\n",
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"CD: numeral, cardinal\n",
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" mid-1890 nine-thirty forty-two one-tenth ten million 0.5 one forty-\n",
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" seven 1987 twenty '79 zero two 78-degrees eighty-four IX '60s .025\n",
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" fifteen 271,124 dozen quintillion DM2,000 ...\n",
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"DT: determiner\n",
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" all an another any both del each either every half la many much nary\n",
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" neither no some such that the them these this those\n",
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"EX: existential there\n",
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" there\n",
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"FW: foreign word\n",
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" gemeinschaft hund ich jeux habeas Haementeria Herr K'ang-si vous\n",
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" lutihaw alai je jour objets salutaris fille quibusdam pas trop Monte\n",
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" terram fiche oui corporis ...\n",
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"IN: preposition or conjunction, subordinating\n",
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" astride among uppon whether out inside pro despite on by throughout\n",
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" below within for towards near behind atop around if like until below\n",
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" next into if beside ...\n",
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"JJ: adjective or numeral, ordinal\n",
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" third ill-mannered pre-war regrettable oiled calamitous first separable\n",
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" ectoplasmic battery-powered participatory fourth still-to-be-named\n",
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" multilingual multi-disciplinary ...\n",
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"JJR: adjective, comparative\n",
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" bleaker braver breezier briefer brighter brisker broader bumper busier\n",
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" calmer cheaper choosier cleaner clearer closer colder commoner costlier\n",
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" cozier creamier crunchier cuter ...\n",
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"JJS: adjective, superlative\n",
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" calmest cheapest choicest classiest cleanest clearest closest commonest\n",
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" corniest costliest crassest creepiest crudest cutest darkest deadliest\n",
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" dearest deepest densest dinkiest ...\n",
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"LS: list item marker\n",
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" A A. B B. C C. D E F First G H I J K One SP-44001 SP-44002 SP-44005\n",
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" SP-44007 Second Third Three Two * a b c d first five four one six three\n",
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" two\n",
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"MD: modal auxiliary\n",
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" can cannot could couldn't dare may might must need ought shall should\n",
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" shouldn't will would\n",
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"NN: noun, common, singular or mass\n",
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" common-carrier cabbage knuckle-duster Casino afghan shed thermostat\n",
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" investment slide humour falloff slick wind hyena override subhumanity\n",
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" machinist ...\n",
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"NNP: noun, proper, singular\n",
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" Motown Venneboerger Czestochwa Ranzer Conchita Trumplane Christos\n",
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" Oceanside Escobar Kreisler Sawyer Cougar Yvette Ervin ODI Darryl CTCA\n",
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" Shannon A.K.C. Meltex Liverpool ...\n",
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"NNPS: noun, proper, plural\n",
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" Americans Americas Amharas Amityvilles Amusements Anarcho-Syndicalists\n",
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" Andalusians Andes Andruses Angels Animals Anthony Antilles Antiques\n",
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" Apache Apaches Apocrypha ...\n",
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"NNS: noun, common, plural\n",
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" undergraduates scotches bric-a-brac products bodyguards facets coasts\n",
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" divestitures storehouses designs clubs fragrances averages\n",
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" subjectivists apprehensions muses factory-jobs ...\n",
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"PDT: pre-determiner\n",
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" all both half many quite such sure this\n",
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"POS: genitive marker\n",
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" ' 's\n",
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"PRP: pronoun, personal\n",
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" hers herself him himself hisself it itself me myself one oneself ours\n",
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" ourselves ownself self she thee theirs them themselves they thou thy us\n",
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"PRP$: pronoun, possessive\n",
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" her his mine my our ours their thy your\n",
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"RB: adverb\n",
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" occasionally unabatingly maddeningly adventurously professedly\n",
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" stirringly prominently technologically magisterially predominately\n",
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" swiftly fiscally pitilessly ...\n",
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"RBR: adverb, comparative\n",
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" further gloomier grander graver greater grimmer harder harsher\n",
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" healthier heavier higher however larger later leaner lengthier less-\n",
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" perfectly lesser lonelier longer louder lower more ...\n",
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"RBS: adverb, superlative\n",
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" best biggest bluntest earliest farthest first furthest hardest\n",
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" heartiest highest largest least less most nearest second tightest worst\n",
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"RP: particle\n",
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" aboard about across along apart around aside at away back before behind\n",
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" by crop down ever fast for forth from go high i.e. in into just later\n",
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" low more off on open out over per pie raising start teeth that through\n",
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" under unto up up-pp upon whole with you\n",
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"SYM: symbol\n",
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" % & ' '' ''. ) ). * + ,. < = > @ A[fj] U.S U.S.S.R * ** ***\n",
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"TO: \"to\" as preposition or infinitive marker\n",
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" to\n",
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"UH: interjection\n",
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" Goodbye Goody Gosh Wow Jeepers Jee-sus Hubba Hey Kee-reist Oops amen\n",
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" huh howdy uh dammit whammo shucks heck anyways whodunnit honey golly\n",
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" man baby diddle hush sonuvabitch ...\n",
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"VB: verb, base form\n",
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" ask assemble assess assign assume atone attention avoid bake balkanize\n",
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" bank begin behold believe bend benefit bevel beware bless boil bomb\n",
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" boost brace break bring broil brush build ...\n",
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"VBD: verb, past tense\n",
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" dipped pleaded swiped regummed soaked tidied convened halted registered\n",
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" cushioned exacted snubbed strode aimed adopted belied figgered\n",
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" speculated wore appreciated contemplated ...\n",
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"VBG: verb, present participle or gerund\n",
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" telegraphing stirring focusing angering judging stalling lactating\n",
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" hankerin' alleging veering capping approaching traveling besieging\n",
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" encrypting interrupting erasing wincing ...\n",
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"VBN: verb, past participle\n",
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" multihulled dilapidated aerosolized chaired languished panelized used\n",
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" experimented flourished imitated reunifed factored condensed sheared\n",
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" unsettled primed dubbed desired ...\n",
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"VBP: verb, present tense, not 3rd person singular\n",
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" predominate wrap resort sue twist spill cure lengthen brush terminate\n",
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" appear tend stray glisten obtain comprise detest tease attract\n",
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" emphasize mold postpone sever return wag ...\n",
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"VBZ: verb, present tense, 3rd person singular\n",
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" bases reconstructs marks mixes displeases seals carps weaves snatches\n",
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" slumps stretches authorizes smolders pictures emerges stockpiles\n",
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" seduces fizzes uses bolsters slaps speaks pleads ...\n",
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"WDT: WH-determiner\n",
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" that what whatever which whichever\n",
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"WP: WH-pronoun\n",
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" that what whatever whatsoever which who whom whosoever\n",
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"WP$: WH-pronoun, possessive\n",
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" whose\n",
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"WRB: Wh-adverb\n",
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" how however whence whenever where whereby whereever wherein whereof why\n",
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"``: opening quotation mark\n",
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" ` ``\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"import nltk\n",
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"nltk.help.upenn_tagset()"
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]
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},
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@ -74,11 +74,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"['alt.atheism', 'comp.graphics', 'comp.os.ms-windows.misc', 'comp.sys.ibm.pc.hardware', 'comp.sys.mac.hardware', 'comp.windows.x', 'misc.forsale', 'rec.autos', 'rec.motorcycles', 'rec.sport.baseball', 'rec.sport.hockey', 'sci.crypt', 'sci.electronics', 'sci.med', 'sci.space', 'soc.religion.christian', 'talk.politics.guns', 'talk.politics.mideast', 'talk.politics.misc', 'talk.religion.misc']\n"
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]
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}
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],
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"source": [
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"from sklearn.datasets import fetch_20newsgroups\n",
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"\n",
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@ -92,11 +100,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"20\n"
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]
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}
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],
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"source": [
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"#Number of categories\n",
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"print(len(newsgroups_train.target_names))"
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@ -104,11 +120,28 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Category id 4 comp.sys.mac.hardware\n",
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"Doc A fair number of brave souls who upgraded their SI clock oscillator have\n",
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"shared their experiences for this poll. Please send a brief message detailing\n",
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"your experiences with the procedure. Top speed attained, CPU rated speed,\n",
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"add on cards and adapters, heat sinks, hour of usage per day, floppy disk\n",
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"functionality with 800 and 1.4 m floppies are especially requested.\n",
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"\n",
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"I will be summarizing in the next two days, so please add to the network\n",
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"knowledge base if you have done the clock upgrade and haven't answered this\n",
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"poll. Thanks.\n"
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]
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}
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],
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"source": [
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"# Show a document\n",
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"docid = 1\n",
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(11314,)"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"#Number of files\n",
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"newsgroups_train.filenames.shape"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 5,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/cif/anaconda3/lib/python3.5/site-packages/numpy/core/fromnumeric.py:2652: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`.\n",
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" VisibleDeprecationWarning)\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"(11314, 101323)"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# Obtain a vector\n",
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"\n",
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 6,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"66.80510871486653"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# The tf-idf vectors are very sparse with an average of 66 non zero components in 101.323 dimensions (.06%)\n",
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"vectors_train.nnz / float(vectors_train.shape[0])"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 7,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/cif/anaconda3/lib/python3.5/site-packages/numpy/core/fromnumeric.py:2652: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`.\n",
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" VisibleDeprecationWarning)\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"0.69545360719001303"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from sklearn.naive_bayes import MultinomialNB\n",
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"\n",
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@ -209,11 +302,20 @@
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},
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{
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"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 8,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"dimensionality: 101323\n",
|
||||
"density: 1.000000\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from sklearn.utils.extmath import density\n",
|
||||
"\n",
|
||||
@ -223,11 +325,38 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 9,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"alt.atheism: islam atheists say just religion atheism think don people god\n",
|
||||
"comp.graphics: looking format 3d know program file files thanks image graphics\n",
|
||||
"comp.os.ms-windows.misc: card problem thanks driver drivers use files dos file windows\n",
|
||||
"comp.sys.ibm.pc.hardware: monitor disk thanks pc ide controller bus card scsi drive\n",
|
||||
"comp.sys.mac.hardware: know monitor does quadra simms thanks problem drive apple mac\n",
|
||||
"comp.windows.x: using windows x11r5 use application thanks widget server motif window\n",
|
||||
"misc.forsale: asking email sell price condition new shipping offer 00 sale\n",
|
||||
"rec.autos: don ford new good dealer just engine like cars car\n",
|
||||
"rec.motorcycles: don just helmet riding like motorcycle ride bikes dod bike\n",
|
||||
"rec.sport.baseball: braves players pitching hit runs games game baseball team year\n",
|
||||
"rec.sport.hockey: league year nhl games season players play hockey team game\n",
|
||||
"sci.crypt: people use escrow nsa keys government chip clipper encryption key\n",
|
||||
"sci.electronics: don thanks voltage used know does like circuit power use\n",
|
||||
"sci.med: skepticism cadre dsl banks chastity n3jxp pitt gordon geb msg\n",
|
||||
"sci.space: just lunar earth shuttle like moon launch orbit nasa space\n",
|
||||
"soc.religion.christian: believe faith christian christ bible people christians church jesus god\n",
|
||||
"talk.politics.guns: just law firearms government fbi don weapons people guns gun\n",
|
||||
"talk.politics.mideast: said arabs arab turkish people armenians armenian jews israeli israel\n",
|
||||
"talk.politics.misc: know state clinton president just think tax don government people\n",
|
||||
"talk.religion.misc: think don koresh objective christians bible people christian jesus god\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# We can review the top features per topic in Bayes (attribute coef_)\n",
|
||||
"import numpy as np\n",
|
||||
@ -244,11 +373,28 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 10,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[ 2 15]\n",
|
||||
"['comp.os.ms-windows.misc', 'soc.religion.christian']\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"/home/cif/anaconda3/lib/python3.5/site-packages/numpy/core/fromnumeric.py:2652: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`.\n",
|
||||
" VisibleDeprecationWarning)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# We try the classifier in two new docs\n",
|
||||
"\n",
|
||||
|
||||
@ -115,7 +115,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.5.1"
|
||||
"version": "3.5.2"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
@ -193,7 +193,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.5.1"
|
||||
"version": "3.5.2"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
Loading…
Reference in New Issue
Block a user