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73c21b4f8f
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73c21b4f8f | ||
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ce8ed07327 |
@@ -12,7 +12,7 @@ query.sh
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## 1. Verzamelen van berichten
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Berichten van NieuwsNL in `NieuwsNL/yyyy/mm/dd/`
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Berichten van NieuwsNL in `NieuwsNL/yyyy/mm/dd/` TODO
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Overigen in `[A-Z]*/yyyy/ww/` (weeknummer)
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1
README.user.md
Normal file
1
README.user.md
Normal file
@@ -0,0 +1 @@
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TODO
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20
collect.sh
20
collect.sh
@@ -143,6 +143,14 @@ do
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| sed -e 's/\.[0-9][0-9]*$//' | sort | uniq \
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| items2count > $part-overige-namen-$ds-$i
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say $part-allewoorden-$ds-$i
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alto \
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'fp://node[(@pt and not(@pt="let" or @rel="mwp" or @neclass)) or (@cat="mwu" and not(.//node[@neclass]))]' \
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'tt:%l\ti%d\t%I' $files \
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| sed -e 's/pubdate: "[-0-9]*"//' \
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| sed -e 's/\.[0-9][0-9]*$//' | sort | uniq \
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| items2count > $part-allewoorden-$ds-$i
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# tellingen met tags en postags
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say $part-nieuwe-woorden-extra-$ds-$i
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@@ -166,18 +174,6 @@ do
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| sed -e 's/\([0-9]\) */\1\t/' | sort -f -k 2 | sort -n -r -k 1,1 -s \
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> $part-nieuwe-adjww-extra-$ds-$i
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# kale tellingen
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say $part-allewoorden-$ds-$i
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alto \
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'fp://node[(@pt and not(@pt="let" or @rel="mwp" or @neclass)) or (@cat="mwu" and not(.//node[@neclass]))]' \
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'tt:%l\t%I' $files \
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| sed -e 's/\.[0-9][0-9]*$//' | sort | uniq \
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| sed -e 's/\t.*//' | uniq -c \
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| grep -v '^ *1 ' \
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| sed -e 's/\([0-9]\) */\1\t/' | sort -f -k 2 | sort -n -r -k 1,1 -s \
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> $part-allewoorden-$ds-$i
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done
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# score
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@@ -56,17 +56,24 @@ oudfile = sys.argv[1]
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nieuwfile = sys.argv[2]
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jsonfile = sys.argv[3]
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extras = {}
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counts_recent = {}
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counts_reference = {}
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with open(oudfile, "rt", encoding="utf-8") as fp:
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for line in fp:
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aa = line.split("\t")
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counts_reference[aa[1].strip()] = int(aa[0])
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w = aa[1].strip()
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counts_reference[w] = int(aa[0])
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if len(aa) > 2:
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extras[w] = '\t'.join(aa[2:]).strip()
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with open(nieuwfile, "rt", encoding="utf-8") as fp:
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for line in fp:
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aa = line.split("\t")
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counts_recent[aa[1].strip()] = int(aa[0])
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w = aa[1].strip()
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counts_recent[w] = int(aa[0])
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if len(aa) > 2:
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extras[w] = '\t'.join(aa[2:]).strip()
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for key in counts_recent:
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if not key in counts_reference:
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@@ -90,6 +97,11 @@ _, p_adjusted, _, _ = multipletests(p_values, method="fdr_bh")
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for r, p_adj in zip(results, p_adjusted):
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r["p_g2_adjusted"] = p_adj
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for i in range(len(results)):
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results[i]["n"] = int(counts_recent[results[i]["word"]])
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if len(extras) > 0:
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results[i]["extras"] = extras.get(results[i]["word"], '')
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o = {}
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#o['up'] = sorted([x for x in results if x['p_g2'] < .05 and x['pct_diff'] > 0], key=lambda x: x['g2'], reverse=True)[:40]
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#o['dn'] = sorted([x for x in results if x['p_g2'] < .05 and x['pct_diff'] < 0], key=lambda x: x['g2'], reverse=True)[:40]
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@@ -1,5 +1,5 @@
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nw <- read.table('data/2026/algemeen-count-per-2026.23-1', sep="\t", quote="", encoding="utf-8", col.names=c("f", "word"))
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od <- read.table('data/2026/algemeen-count-per-2026.22-4', sep="\t", quote="", encoding="utf-8", col.names=c("f", "word"))
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nw <- read.table('data/2026/algemeen-allewoorden-2026.23-1', sep="\t", quote="", encoding="utf-8", col.names=c("f", "word", "tags"))
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od <- read.table('data/2026/algemeen-allewoorden-2026.22-4', sep="\t", quote="", encoding="utf-8", col.names=c("f", "word", "tags"))
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words <- unique(c(od$word, nw$word))
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o <- order(words)
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words <- words[o]
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@@ -26,3 +26,8 @@ nieuw[nieuw == 0] <- 0.5
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plot(log(oud), log(nieuw))
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lines(log(range(oud)), log(range(nieuw)))
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identify(log(oud), log(nieuw), labels=words)
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#plot(oud, nieuw)
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#lines(range(oud), range(nieuw))
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#identify(oud, nieuw, labels=words)
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Reference in New Issue
Block a user