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348 lines
8.7 KiB
Python
348 lines
8.7 KiB
Python
5 years ago
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# from __future__ import division
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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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import nltk
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import codecs
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import base64
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nltk.download('stopwords')
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# faceapp_file = open('faceapp.txt','r')
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with open('tos_file/faceapp_sentence.txt', 'r') as faceapp_file:
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faceapp_text = faceapp_file.read()
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faceapp_text_list = faceapp_text.split("\n\n")
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with open('treaty_file/russia_estonia_sentence.txt', 'r') as russia_file:
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russia_text = russia_file.read()
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russia_text_list = russia_text.split("\n\n")
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#tos stopwords
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tos_default_stopwords = set(stopwords.words('english'))
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tos_custom_stopwords = set(codecs.open('stopwords.txt', 'r').read().splitlines())
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tos_all_stopwords = tos_default_stopwords | tos_custom_stopwords
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#treaty stopwords
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t_default_stopwords = set(stopwords.words('english'))
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t_custom_stopwords = set(codecs.open('t_stopwords.txt', 'r').read().splitlines())
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t_all_stopwords = t_default_stopwords | t_custom_stopwords
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# multi-line string HTML
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print('''<!DOCTYPE html>
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<html>
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<head>
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<script src="https://code.jquery.com/jquery-3.5.0.min.js"></script>
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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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@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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body {
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}
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.tos_wrapper {
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# background-color: yellow;
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width: 49.3%;
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float: left;
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margin-right: 20px;
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border-right: 2px solid black;
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}
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.t_wrapper {
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# background-color: green;
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width: 49.3%;
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float: right;
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}
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.t_img {
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# background-color: Aquamarine;
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font-family: helvetica;
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font-weight: regular;
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font-size: 20pt;
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float: left;
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}
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.img {
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width: 30vh;
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}
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.info {
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# background-color: LightSkyBlue;
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font-family: SourceCodePro;
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font-size: 10pt;
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width: 30vh;
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float: right;
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# border: 2px solid black;
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margin: 10px;
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text-align: center;
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}
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.t_info {
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# background-color: LightSkyBlue;
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font-family: SourceCodePro;
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font-size: 10pt;
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width: 30vh;
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float: right;
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# border: 2px solid black;
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padding: 10px;
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text-align: center;
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}
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.paragraph {
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# background-color: gold;
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font-family: helvetica;
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font-weight: regular;
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font-size: 40px;
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width: 98%;
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padding: 10px;
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margin-top: 70px;
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float: right;
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}
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.t_paragraph {
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# background-color: gold;
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font-family: helvetica;
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font-weight: regular;
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font-size: 40px;
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width: 98%;
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margin-top: 70px;
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float: right;
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}
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.top_words {
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# background-color: purple;
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font-family: helvetica;
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font-size: 15pt;
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width: 100%;
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column-count: 4;
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float: left;
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}
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.top_words_title {
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# background-color: yellow;
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width: 100%;
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}
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.chosen_words {
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# background-color: pink;
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line-height: 0.1;
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float: none;
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}
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.t_top_words {
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# background-color: purple;
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font-family: helvetica;
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font-size: 15pt;
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width: 100%;
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column-count: 4;
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float: left;
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}
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.t_top_words_title {
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# background-color: yellow;
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width: 100%;
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}
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.t_chosen_words {
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# background-color: pink;
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line-height: 0.1;
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float: none;
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}
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.hide {
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# color: white;
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background-color: black;
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}
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</style>
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</head>
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<body>
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<script>
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$(document).ready(function() {
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if ($('.TO, .DT, .IN, .WDT, .WP, .MD, .PRP, .CC, .VB, .VBZ, .CD').click(function() {
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$('.TO, .DT, .IN, .WDT, .WP, .MD, .PRP, .CC, .VB, .VBZ, .CD').toggleClass('hide'); // reset
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}));
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else ($('span').click(
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function(){
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var selectedclass = $(this).attr('class');
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$('span').css('background-color', 'white').css('color','black'); // reset
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$('span.' + selectedclass).css('background-color', '#FF4500').css('color', 'white'); //highlighting the select
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}));
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})
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</script>
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''')
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#wrapper
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print('<div class ="tos_wrapper">')
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#insert an image
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# https://upload.wikimedia.org/wikipedia/commons/1/15/Joffe_signing_the_Treaty_of_Tartu.jpg
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FaceApp_img_url = base64.b64encode(open('img/faceapp_logo.png', 'rb').read()).decode('utf-8')
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FaceApp_image = '<div class="t_img">FaceApp<br><img class="img" src="data:img/faceapp_logo.png;base64,{}"></div>'.format(FaceApp_img_url)
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print(FaceApp_image)
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#info box
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print('<div class ="info">')
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infotext = [('Service', 'FaceApp'), ('Country', 'Russia'), ('Type', 'Image editing'), ('Initial release', 'December 31, 2016'), ('source', '<a href="https://www.faceapp.com/terms-en.html">link</a>'), ('Description', 'FaceApp is a mobile application for iOS and Android developed by Russian company Wireless Lab. The app generates highly realistic transformations of human faces in photographs by using neural networks based on artificial intelligence. The app can transform a face to make it smile, look younger, look older, or change gender.')]
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for title, info in infotext:
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5 years ago
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print('<div class="info_{0}" style="border-top: 2px solid black;"><div class="info_title" >{0}</div><div class="info_content">{1}</div></div><br>'.format(title, info))
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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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# for paragraph in faceapp_text_list:
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# tokenized = word_tokenize(paragraph)
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# tagged = pos_tag(tokenized)
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# print('<p>')
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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('</p>')
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# print('</div>')
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# #faceapp_text
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tokenized = word_tokenize(faceapp_text)
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tagged = pos_tag(tokenized)
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print('<p>')
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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('</p>')
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print('</div>')
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#colonial words list
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print('<div class="top_words"><div class="top_words_title" style="-webkit-text-decoration-line: underline; text-decoration-line: underline;" >colonial words:</div>')
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tokens_without_stopwords = nltk.FreqDist(words.lower() for words in tokenized if words.lower() not in tos_all_stopwords)
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frequency_word = FreqDist(tokens_without_stopwords)
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top_words = tokens_without_stopwords.most_common(20)
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for chosen_words, frequency in top_words:
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print('<br><div class="chosen_words" >{}({}) </div>'.format(chosen_words, frequency))
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print('</div></div>')
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#t_wrapper (second wrapper)
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print('</div><div class="t_wrapper">')
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#insert an image
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# https://upload.wikimedia.org/wikipedia/commons/1/15/Joffe_signing_the_Treaty_of_Tartu.jpg
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img_url = base64.b64encode(open('img/tartu.jpeg', 'rb').read()).decode('utf-8')
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t_image = '<div class="t_img">Peace Treaty of Tartu<br><img class="img" src="data:img/tartu.jpeg;base64,{}"></div>'.format(img_url)
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print(t_image)
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#t_info box
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print('<div class ="t_info">')
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t_infotext = [('Name of Treaty', 'Peace Treaty of Tartu'), ('Country', 'Russia'), ('Date', 'February 2, 1920'), ('Location', 'Tartu, Estonia'), ('Signed', 'February 2, 1920'), ('Type', 'bilateral peace treaty'), ('source', '<a href="https://en.wikipedia.org/wiki/Treaty_of_Tartu_(Russian-Estonian)">link</a>'), ('Description', 'The Tartu Peace Treaty or Treaty of Tartu is a peace treaty between Estonia and Russian Soviet Federative Socialist Republic signed on 2 February 1920, ending the Estonian War of Independence.')]
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for t_title, t_info in t_infotext:
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5 years ago
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print('<div class="t_info-{0}" style="border-top: 2px solid black;"><div class="info_t_title" >{0}</div><div class="t_info_content">{1}</div></div><br>'.format(t_title, t_info))
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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="t_paragraph">')
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t_tokenized = word_tokenize(russia_text)
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t_tagged = pos_tag(t_tokenized)
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for t_word, t_pos in t_tagged:
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print('<span class="{}">{}</span>'.format(t_pos, t_word))
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print('<p>')
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print('</div>')
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#treaty colonial words list
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print('<div class="t_top_words"><div class="t_top_words_title" style="-webkit-text-decoration-line: underline; text-decoration-line: underline;" >colonial words:</div>')
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t_tokens_without_stopwords = nltk.FreqDist(words.lower() for words in t_tokenized if words.lower() not in t_all_stopwords)
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t_frequency_word = FreqDist(t_tokens_without_stopwords)
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t_top_words = t_tokens_without_stopwords.most_common(20)
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for t_chosen_words, t_frequency in t_top_words:
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print('<br><div class="t_chosen_words" >{}({}) </div>'.format(t_chosen_words, t_frequency))
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print('</div></div>')
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print('</div>')
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print('''</body></html>''')
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