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@ -69,7 +69,26 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"Text?"
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"nltk.text.Text"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"for line in text1.concordance_list(\"whale\"):\n",
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" print (line.left_print, line.query, line.right_print)"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"text5.tokens"
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]
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},
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{
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@ -92,6 +111,15 @@
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"url = \"https://git.xpub.nl/XPUB/S13-Words-for-the-Future-materials/raw/branch/master/txt-essays/RESURGENCE%20Isabelle%20Stengers.txt\""
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"url"
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]
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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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@ -101,6 +129,33 @@
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"from urllib.request import urlopen"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"r = urlopen(url)"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"rawtext = r.read()"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"text = rawtext.decode()"
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]
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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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@ -110,6 +165,51 @@
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"text = urlopen(url).read().decode()"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"len(text)"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"words = text.split?"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"words = text.split"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"words = text.split()"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"len(words)"
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]
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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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@ -134,7 +234,52 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"stengers = nltk.text.Text(tokens)"
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"tokens = word_tokenize"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"tokens = word_tokenize"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"len(tokens)"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"len(tokens)"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"tokens[-10:]"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"stengers = Text(tokens)"
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]
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},
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{
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@ -152,7 +297,16 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"stengers.concordance(\"power\")"
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"stengers.concordance(\"the\", width=82, lines=74)"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"stengers.concordance?"
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]
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},
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{
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@ -161,7 +315,19 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"stengers.similar(\"power\")"
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"for line in stengers.concordance_list(\"the\", width=82, lines=74):\n",
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" print (line.left_print, line.query, line.right_print)"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"with open (\"patches/stengers_the.txt\", \"w\") as output:\n",
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" for line in stengers.concordance_list(\"the\", width=82, lines=74):\n",
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" print (line.left_print, line.query, line.right_print, file=output)"
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]
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},
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{
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@ -179,7 +345,16 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"stengers.dispersion_plot([\"power\", \"freedom\"])"
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"stengers.dispersion_plot([\"power\", \"the\", \"victims\"])"
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]
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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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"metadata": {},
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"outputs": [],
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"source": [
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"from nltk.probability import FreqDist"
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]
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},
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{
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@ -197,7 +372,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"freq"
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"freq[\"WHALE\"]"
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]
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},
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{
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@ -467,8 +642,15 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"figsize(20.0,4.8)"
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"figsize(20.0,20.0)"
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]
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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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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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