From c6e1d2215d5f23df8a147b1b7a3e149f7320ce01 Mon Sep 17 00:00:00 2001 From: bootje Date: Thu, 26 Mar 2020 17:10:07 +0100 Subject: [PATCH] second script --- .DS_Store | Bin 0 -> 10244 bytes 200312/.DS_Store | Bin 6148 -> 6148 bytes 200312/1*iNNFmHfTenfRuAETS8UdCg.png | Bin 88667 -> 0 bytes 200312/724-4197-1-PB.jpeg | Bin 107143 -> 0 bytes 200312/D_rgQlYWkAAMx9s.jpeg | Bin 228148 -> 0 bytes .../categorization.py | 57 ------------ .../colonialwords.py | 82 ------------------ .../categorization_of_files copy/example.png | Bin 239657 -> 0 bytes .../categorization_of_files copy/tiktok.txt | 3 - 200312/categorization_of_files/faceapp.txt | 3 - .../my-file.txt} | 0 .../.DS_Store | Bin 6148 -> 8196 bytes nltk-book/200323_NLTK.py | 10 +++ nltk-book/200323_NLTK_V2.py | 39 +++++++++ nltk-book/NLTK_V3.py | 40 +++++++++ nltk-book/chapter1.py | 28 +++++- nltk-book/colonial-glossary.py | 72 +++++++++++++++ nltk-book/faceapp.txt | 10 +++ .../stopwords.txt | 4 +- 19 files changed, 199 insertions(+), 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z|Iz`UoxYl{E5dn&In{03aDh$(q~TJFbR{BGQrfLmI?o$6iIUYpc^=E+h`zJ8+b>^V z4}6@nb#lgBF{n!&CoMyu@;_}nMol`d_B_MfdF?mgZ_%QYzvurCBRw2B diff --git a/200312/categorization_of_files copy/categorization.py b/200312/categorization_of_files copy/categorization.py deleted file mode 100755 index 7f2620b..0000000 --- a/200312/categorization_of_files copy/categorization.py +++ /dev/null @@ -1,57 +0,0 @@ -import collections - -# this script was adapted from: -# https://towardsdatascience.com/very-simple-python-script-for-extracting-most-common-words-from-a-story-1e3570d0b9d0 -# https://git.xpub.nl/rita/categorization_of_files/src/branch/master/categorization.py - - -# open and read file -file = open(input("\nwhich platform's Terms of Service do you want to look at: \n"), encoding="utf8") -a = file.read() - -# my stopwords are common words I don't want to count, like "a", "an", "the". -stopwords = set(line.strip() for line in open('stopwords.txt')) - -# dictionary -wordcount = {} - -# spliting words from punctuation so "book" and "book!" counts as the same word -for word in a.lower().split(): - word = word.replace(".","") - word = word.replace(",","") - word = word.replace(":","") - word = word.replace("\"","") - word = word.replace("!","") - word = word.replace("“","") - word = word.replace("‘","") - word = word.replace("*","") - -# counting - if word not in stopwords: - if word not in wordcount: - wordcount[word] = 1 - else: - wordcount[word] += 1 - -# print x most common words -# n_print = int(input("How many most common words to print: ")) -n_print = int(5) -print("\nMost used colonial words are:") -word_counter = collections.Counter(wordcount) -for word, count in word_counter.most_common(n_print): - print(word,"—", count) - -# categories - -# words that are inside the category Library Studies -library_studies = set(line.strip() for line in open('library_studies.txt')) - -for word, count in word_counter.most_common(n_print): - if word in library_studies: - print("\nWe suggest the following categorization for this file:\nLibrary Studies\n") - break -else: - print("\nWe don't have any suggestion of categorization for this file.\n") - -# Close the file -file.close() diff --git a/200312/categorization_of_files copy/colonialwords.py b/200312/categorization_of_files copy/colonialwords.py deleted file mode 100644 index 7dead29..0000000 --- a/200312/categorization_of_files copy/colonialwords.py +++ /dev/null @@ -1,82 +0,0 @@ -import collections -# from termcolor import colored -# this script was adapted from: -# https://towardsdatascience.com/very-simple-python-script-for-extracting-most-common-words-from-a-story-1e3570d0b9d0 -# https://git.xpub.nl/rita/categorization_of_files/src/branch/master/categorization.py - - -# open and read file -file = open(input("\nwhich platform's Terms of Service do you want to look at: \n"), encoding="utf8") -a = file.read() - -# f = open("tiktok.txt", "r") -# print(f.read()) - -# my stopwords are common words I don't want to count, like "a", "an", "the". -stopwords = set(line.strip() for line in open('stopwords.txt')) - -# dictionary -wordcount = {} - -# spliting words from punctuation so "book" and "book!" counts as the same word -for word in a.lower().split(): - word = word.replace(".","") - word = word.replace(",","") - word = word.replace(":","") - word = word.replace("\"","") - word = word.replace("!","") - word = word.replace("“","") - word = word.replace("‘","") - word = word.replace("*","") - word = word.replace("(","") - word = word.replace(")","") - -# counting - if word not in stopwords: - if word not in wordcount: - wordcount[word] = 1 - else: - wordcount[word] += 1 - -# print x most common words -n_print = int(100) -print("\nMost used colonial words are:") - -word_counter = collections.Counter(wordcount) -for word, count in word_counter.most_common(n_print): - print(word,"—", count) - - -# word_counter = collections.Counter(wordcount) -# for word, count in word_counter.most_common(n_print): -# print(word,"—", count) - - -# colonial texts in bold -# for word in n_print: -# if word in n_print: -# wordcount.append(colored(word, 'white', 'on_red')) -# else: -# wordcount.append(t) - - -# print(" ".join(colored(word, 'white', 'on_red')) - - - - - -# categories - -# words that are inside the category Library Studies -library_studies = set(line.strip() for line in open('library_studies.txt')) - -for word, count in word_counter.most_common(n_print): - if word in library_studies: - print("\nWe suggest the following categorization for this platform:\nLibrary Studies\n") - break -else: - print("\nThese are the TikTok's colonial words.\n") - -# Close the file -file.close() diff --git a/200312/categorization_of_files copy/example.png b/200312/categorization_of_files copy/example.png deleted file mode 100755 index 9fcfca276cd9f2e195d40e64045ea9d6077059bd..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 239657 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