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211 lines
3.9 KiB
Python
211 lines
3.9 KiB
Python
5 years ago
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from __future__ import division
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import glob
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from nltk import *
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import re
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import nltk
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import codecs
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from nltk import sent_tokenize, word_tokenize, pos_tag
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from nltk.probability import FreqDist
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from nltk.corpus import stopwords
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nltk.download('stopwords')
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#open the txt file, read, and tokenize
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file = open('faceapp.txt','r')
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text = file.read()
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x = 1
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#stopwords
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default_stopwords = set(stopwords.words('english'))
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custom_stopwords = set(codecs.open('stopwords.txt', 'r').read().splitlines())
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all_stopwords = default_stopwords | custom_stopwords
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5 years ago
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print(
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'''<!DOCTYPE html>
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5 years ago
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<html>
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<head>
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<meta charset="utf-8">
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<title></title>
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<style>
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@font-face {
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font-family: "Belgika";
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src: url("http://bohyewoo.com/webfonts/belgika/belgika-40th-webfont.eot");
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src: url("http://bohyewoo.com/webfonts/belgika/belgika-40th-webfont.woff") format("woff"),
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url("http://bohyewoo.com/webfonts/belgika/belgika-40th-webfont.svg#filename") format("svg");
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}
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@font-face {
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font-family: "Belgika";
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src: url("http://bohyewoo.com/webfonts/belgika/belgika-16th-webfont.eot");
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src: url("http://bohyewoo.com/webfonts/belgika/belgika-16th-webfont.woff") format("woff"),
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url("http://bohyewoo.com/webfonts/belgika/belgika-16th-webfont.svg#filename") format("svg");
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}
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@font-face {
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font-family: "Belgika";
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src: url("http://bohyewoo.com/webfonts/belgika/belgika-8th-webfont.eot");
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src: url("http://bohyewoo.com/webfonts/belgika/belgika-8th-webfont.woff") format("woff"),
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url("http://bohyewoo.com/webfonts/belgika/belgika-8th-webfont.svg#filename") format("svg");
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}
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5 years ago
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@font-face {
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font-family: "SourceCodePro";
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src: url("http://bohyewoo.com/webfonts/Source_Code_Pro/SourceCodePro-Regular.ttf");
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}
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5 years ago
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body {
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5 years ago
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background-color: whitesmoke;
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5 years ago
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# font-family: Belgika;
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# font-weight: 8th;
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5 years ago
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# letter-spacing: -0.3px;
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5 years ago
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font-size: 20px;
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line-height: 1.2;
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}
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5 years ago
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.info {
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font-family: Belgika;
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font-weight: 8th;
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font-size: 10pt;
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width: 20%;
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float: left;
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border: 1px solid black;
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}
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5 years ago
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.NNP {
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background-color: pink;
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}
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.VBP {
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5 years ago
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5 years ago
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}
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.VBP:hover {
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background-color: gold;
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}
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.NN {
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background-color: LightSkyBlue;
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}
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.NNS {
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background-color: Aquamarine;
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}
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.paragraph {
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5 years ago
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font-family: SourceCodePro;
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5 years ago
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font-weight: regular;
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5 years ago
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letter-spacing: -0.5px;
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width: 50%;
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float: left;
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5 years ago
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}
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.top_words {
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font-family: Belgika;
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font-weight: 8th;
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font-size: 9pt;
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width: 25%;
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float: left;
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}
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</style>
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</head>
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5 years ago
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<body>'''
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)
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5 years ago
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5 years ago
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#info box
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print('<div class ="info">')
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infotext = [('service', 'FaceApp'), ('Type', 'Image editing'), ('Initial release', 'December 31 2016'), ('Type', 'Image editing'), ('source', '<a href="https://www.faceapp.com/terms-en.html">link</a>')]
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5 years ago
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5 years ago
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for title, info in infotext:
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print('<span class="info-{0}">{0}:{1}</span><br>'.format(title, info))
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5 years ago
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5 years ago
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print('</div>')
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#ToS text
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print('<div class ="paragraph">')
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5 years ago
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tokenized = word_tokenize(text)
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tagged = pos_tag(tokenized)
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for word, pos in tagged:
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print('<span class="{}">{}</span>'.format(pos, word))
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print('</div>')
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5 years ago
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#colonial words list
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5 years ago
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print('<div class="top_words"> colonial words:')
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5 years ago
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tokens_without_stopwords = nltk.FreqDist(words.lower() for words in tokenized if words.lower() not in all_stopwords)
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5 years ago
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frequency_word = FreqDist(tokens_without_stopwords)
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top_words = tokens_without_stopwords.most_common(100)
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for chosen_words, frequency in top_words:
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print('<br><span class="chosen_words">{}({}) </span>'.format(chosen_words, frequency))
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print('''</div></body></html>''')
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# # for new_file in tokens_without_stopwords:
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# appendFile = open('tokenized_words.txt', 'a')
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# appendFile.write(" " + new_file)
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# appendFile.close()
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# #shows only stopwords
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# processed_word_list = []
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# for word in tokenized:
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# # print(word)
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# if word not in all_stopwords:
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# processed_word_list.append('*')
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# else:
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# processed_word_list.append(word)
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# print(processed_word_list)
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# # # result putting in a graph
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# top_words_plot = frequency_word.plot(10)
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# print(top_words_plot)
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