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article.py
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article.py
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import bs4
import re
import nltk
import coref.coref as coref
import coref.runArk as runArk
import glob
import codecs
class Article(object):
def __init__(self,filename,arkfolder):
self.filename = filename
self.filetype = filename.split('.')[-1]
self.content = self.shorten_file()
self.arkfolder = arkfolder.strip('/')
self.arkcontent = self.do_coref()
self.list = self.generate_sentence_list()
def shorten_file(self):
filtered = ""
if self.filetype == 'htm' or self.filetype == 'html':
body = self.parse_html()
else:
body = (codecs.open(self.filename,encoding = 'utf-8')).read()
lines = body.split('\n')
for line in lines:
line = line.strip()
if len(line) == 0:continue
if line == 'See also' or line == 'References':break
if len(line.split()) <= 5 and line[-1] != '.':continue
filtered += line + '\n\n'
return filtered
def parse_html(self):
try:
article_fd = open(self.filename).read()
article_fd = "<root>"+article_fd+"</root>" # trick arkref into doing entire doc
soup = bs4.BeautifulSoup(article_fd, "html.parser").root
resolved = re.sub("<.*?>", "", str(soup))
except:
resolved = open(self.filename).read()
resolved_u = resolved.decode("utf8")
resolved = resolved_u.encode('ascii', 'ignore')
return resolved
def get_sentence_list(self,ark,stem,rmstem):
if ark == 1:
if rmstem == 1:
return self.list['arkrmstop']
elif stem == 1:
return self.list['arkstem']
else:
return self.list['arkoriginal']
else:
if rmstem == 1:
return self.list['rmstop']
elif stem == 1:
return self.list['stem']
else:
return self.list['original']
def generate_sentence_list(self):
alllist = {}
stopFilePath = "./Misc/stopword.txt"
stopFile = open(stopFilePath,'r')
stopWords = dict()
for word in stopFile:
stopWords[word.strip()] = 1
stopFile.close()
tokenizer = nltk.data.load('tokenizers/punkt/english.pickle')
original = tokenizer.tokenize(self.content)
arkoriginal = tokenizer.tokenize(self.arkcontent)
stem = self.stemming(original)
arkstem = self.stemming(arkoriginal)
rmstop = self.remove_stop_words(original,stopWords)
arkrmstop = self.remove_stop_words(arkoriginal,stopWords)
rmstem = self.stemming(rmstop)
arkrmstem = self.stemming(arkrmstop)
alllist['original'] = original
alllist['arkoriginal'] = arkoriginal
alllist['stem'] = stem
alllist['arkstem'] = arkstem
alllist['rmstem'] = rmstem
alllist['arkrmstem'] = arkrmstem
return alllist
def stemming(self,sentences):
"""
Input: a list of sentenses
Output: a dict of sentenses with tokens stemed,
key = stemed sentence, value = original sentence
"""
porter = nltk.PorterStemmer()
stemmedSentences = []
for sentence in sentences:
tokens = nltk.word_tokenize(sentence)
stemmedTokens = [porter.stem(t) for t in tokens]
stemmedSentences.append(' '.join(stemmedTokens))
return stemmedSentences
def remove_stop_words(self,sentences,stopWords):
"""Input: a list of sentences & a dict of stop words"""
cleanSentences = []
for sen in sentences:
tokens = nltk.word_tokenize(sen)
for i in range(0,len(tokens)):
if tokens[i].lower() in stopWords:
tokens[i] = ''
cleanSentences += [' '.join(tokens).strip()]
return cleanSentences
def do_coref(self):
files = glob.glob(self.arkfolder + '/*.txt')
title = self.arkfolder + "/" + self.filename.split('/')[-1]
title = title.replace('html','txt')
title = title.replace('htm','txt')
# print title
if title not in files:
# print "not there!!"
coref.runCoref(self.content,self.filename,self.arkfolder)
body = (codecs.open(title,encoding = 'utf-8')).read()
return body