def main(url):
parser = MyParser(url)
text = parser.bpArtGetText()
print(text)
pos_tagged = semantics.text_to_pos_tags(text)
entities = semantics.entities(pos_tagged, "PER", "ORG", "LOC", "DAT", "FAC", "GPE")
entities = semantics.ordered_set_of_tags(entities)
adjectives = semantics.adjectives(pos_tagged)
adjectives = semantics.ordered_set_of_tags(adjectives)
for tag in entities and adjectives:
print(tag)
for ent in entities:
tag_dict[ent] = "ENT"
print(entities)
for adj in adjectives:
tag_dict[adj] = "ADJ"
print(adjectives)
mean_arousal = lookup.mean(pos_tagged)
print(mean_arousal)
def main(url):
parser = MyParser(url)
text = parser.bpArtGetText()
print(text)
pos_tagged = semantics.text_to_pos_tags(text)
entities = semantics.entities(pos_tagged, "PER", "ORG", "LOC", "DAT",
"FAC", "GPE")
entities = semantics.ordered_set_of_tags(entities)
adjectives = semantics.adjectives(pos_tagged)
adjectives = semantics.ordered_set_of_tags(adjectives)
for tag in entities and adjectives:
print(tag)
for ent in entities:
tag_dict[ent] = "ENT"
print(entities)
for adj in adjectives:
tag_dict[adj] = "ADJ"
print(adjectives)
mean_arousal = lookup.mean(pos_tagged)
print(mean_arousal)
genresUrl = 'http://labrosa.ee.columbia.edu/millionsong/sites/default/files/AdditionalFiles/unique_terms.txt'
testUrl = 'http://www.bbc.com/news/technology-31552029'
testSentence = "This is an ultimate, to beat Chelsea, who I think will go on and win the Champion's League - it really is."
lookup = AroLookup()
tag_dict = {}
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
parser = MyParser(testUrl)
text = parser.bpArtGetText()
print(text)
pos_tagged = semantics.text_to_pos_tags(text)
entities = semantics.entities(pos_tagged, "PER", "ORG", "LOC", "DAT", "FAC", "GPE")
print(entities)
print(semantics.ordered_set_of_tags(entities))
def main(url):
parser = MyParser(url)
text = parser.bpArtGetText()
print(text)
pos_tagged = semantics.text_to_pos_tags(text)
entities = semantics.entities(pos_tagged, "PER", "ORG", "LOC", "DAT", "FAC", "GPE")
entities = semantics.ordered_set_of_tags(entities)
adjectives = semantics.adjectives(pos_tagged)
adjectives = semantics.ordered_set_of_tags(adjectives)
for tag in entities and adjectives:
print(tag)
for ent in entities:
tag_dict[ent] = "ENT"
print(entities)
testUrl = 'http://www.bbc.com/news/technology-31552029'
testSentence = "This is an ultimate, to beat Chelsea, who I think will go on and win the Champion's League - it really is."
lookup = AroLookup()
tag_dict = {}
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s',
level=logging.INFO)
parser = MyParser(testUrl)
text = parser.bpArtGetText()
print(text)
pos_tagged = semantics.text_to_pos_tags(text)
entities = semantics.entities(pos_tagged, "PER", "ORG", "LOC", "DAT", "FAC",
"GPE")
print(entities)
print(semantics.ordered_set_of_tags(entities))
def main(url):
parser = MyParser(url)
text = parser.bpArtGetText()
print(text)
pos_tagged = semantics.text_to_pos_tags(text)
entities = semantics.entities(pos_tagged, "PER", "ORG", "LOC", "DAT",
"FAC", "GPE")
entities = semantics.ordered_set_of_tags(entities)
adjectives = semantics.adjectives(pos_tagged)
adjectives = semantics.ordered_set_of_tags(adjectives)
for tag in entities and adjectives:
print(tag)
for ent in entities:
