Created
June 9, 2015 15:59
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"Lossy" text compression using a thesaurus
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import nltk,re,os | |
from nltk.corpus import wordnet as wn | |
#Lossy text compression using a thesaurus | |
print "File size originally: " , float(os.path.getsize('Sample.txt')) / 1048576, "MB" | |
with open('Sample.txt','r') as f, open('Output.txt', 'w+') as O: | |
for line in f: | |
for word in line.split(): | |
punctuation = [] | |
l = [] | |
if "." in word: | |
word = word.replace(".","") | |
punctuation.append(".") | |
elif "," in word: | |
word = word.replace(",","") | |
punctuation.append(",") | |
l.append(word) | |
word = str(word).decode('utf-8') | |
for ss in wn.synsets(word): | |
for sim in ss.similar_tos(): | |
sim = re.sub("Synset\('","", str(sim)) | |
m = re.sub(".\w.\d\d'\)","", str(sim)) | |
l.append(m) | |
if len(punctuation) != 0: | |
O.write(str(min(l, key=len) + punctuation[0]) + " ") | |
else: | |
O.write(str(min(l, key=len)) + " ") | |
print "File size after lossy compression: " , float(os.path.getsize('Output.txt')) / 1048576, "MB" |
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