def calculate_scores(annotated_filepath, original_filepath):
text = extract_annotated_text(annotated_filepath)
expected_terms = re.findall(r"\w+", text.lower(), flags=re.UNICODE)
article_extractor = MSSArticleExtractor()
with open(original_filepath, "r") as f:
contents = f.read()
contents = html.document_fromstring(contents)
contents = clean_html(contents)
with codecs.open("cleaned_text.html", "w", encoding="utf-8") as f:
f.write(tostring(contents))
article = article_extractor.extract_article(tostring(contents))
with codecs.open("text.html", "w", encoding="utf-8") as f:
f.write(article)
terms = re.findall(r"\w+", article.lower(), flags=re.UNICODE)
matcher = SequenceMatcher(None, expected_terms, terms)
matches = matcher.get_matching_blocks()
sretsrel = sum([match.size for match in matches])
srel = len(expected_terms)
if terms:
precision = float(sretsrel) / float(len(terms))
else:
precision = 0.0
if srel > 0:
recall = float(sretsrel) / float(srel)
else:
recall = 0.0
try:
f1 = 2 * ((precision * recall) / (precision + recall))
except:
f1 = 0.0
return (precision, recall, f1)
from sys import argv
import codecs
from article_extraction.mss import MSSArticleExtractor
if len(argv) != 3:
print("You must specify a url and an output file")
quit()
url = argv[1]
output = argv[2]
article_extractor = MSSArticleExtractor()
article = article_extractor.extract_article_from_url(url)
with codecs.open(output, "w", encoding="utf-8") as f:
f.write(article)
