def update_all(self, lang="en", n=10):
if isinstance(lang, Language):
lang = lang.id
for conceptname in all_svd_concepts(lang):
concept = Concept.get_raw(conceptname, lang)
print concept
self.update_concept(concept, n)
def denormalize(concept_text):
'''
Returns the canonical denormalized (user-visible) form of a
concept, given its normalized text of a concept.
'''
from csc.conceptnet4.models import Concept
if isinstance(concept_text, tuple):
text, lang = concept_text
else:
text, lang = concept_text, 'en'
try:
concept = Concept.get_raw(text, lang)
result = concept.canonical_name.lower()
except Concept.DoesNotExist:
result = text
if lang != 'en': return '%s [%s]' % (result, lang)
else: return result
def denormalize(concept_text):
'''
Returns the canonical denormalized (user-visible) form of a
concept, given its normalized text of a concept.
'''
from csc.conceptnet4.models import Concept
if isinstance(concept_text, tuple):
text, lang = concept_text
else:
text, lang = concept_text, 'en'
try:
concept = Concept.get_raw(text, lang)
result = concept.canonical_name.lower()
except Concept.DoesNotExist:
result = text
if lang != 'en': return '%s [%s]' % (result, lang)
else: return result
def update_concept(self, concept, n=10):
for target, score in similarities_for_concept(concept.language.id, concept.text, n):
sim, created = self.get_or_create(concept1=concept, concept2=Concept.get_raw(target, concept.language.id))
sim.score = makeDecimal(score)
sim.save()
self.prune_concept(concept)
