本文整理汇总了Python中lexicon.Lexicon.add方法的典型用法代码示例。如果您正苦于以下问题：Python Lexicon.add方法的具体用法？Python Lexicon.add怎么用？Python Lexicon.add使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类lexicon.Lexicon的用法示例。
在下文中一共展示了Lexicon.add方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _estimate_relations
# 需要导入模块: from lexicon import Lexicon [as 别名]
# 或者: from lexicon.Lexicon import add [as 别名]
def _estimate_relations(cache, docs=None):
lexicon = Lexicon()
questions = {}
question_objects = Question.objects.all()
n_questions = question_objects.count()
for (i, question) in enumerate(question_objects):
print >>sys.stderr, "Handling question %i/%i"%(i+1, n_questions)
name = 'question_%i' % question.id
if name not in cache:
words = text_to_word_features(question.text)
for option in question.option_set.all():
words.extend(text_to_basewords(option.name))
for answer in question.answer_set.all():
if(answer.explanation is None): continue
words.extend(text_to_basewords(answer.explanation))
cache[name] = ' '.join(words)
else:
words = cache[name].split(' ')
lexicon.add(*words)
itemlexicon = Lexicon()
itemlexicon.add(*words)
questions[question] = itemlexicon
sessions = {}
handled = []
session_objects = Session.objects.filter(subject__contains=u'Hyv')
n_sessions = session_objects.count()
for (i, session) in enumerate(session_objects):
#if session.info in handled:
# continue
#handled.append(session.info)
print >>sys.stderr, "Handling session %i/%i"%(i+1, n_sessions)
# TODO: Filter by actual period
if session.plenary_session.date.year < 2007:
continue
words = get_session_word_features(session, cache, docs)
if len(words) == 0:
continue
lexicon.add(*words)
itemlexicon = Lexicon()
itemlexicon.add(*words)
sessions[session] = itemlexicon
prod = itertools.product(questions.keys(), sessions.keys())
minr = 1
maxr = 0
relevances = []
for (question, session) in prod:
relevance = lexicon_relevance(questions[question], sessions[session],
lexicon)
if relevance < minr:
minr = relevance
if relevance > maxr:
maxr = relevance
relevances.append((relevance, question, session))
# TODO: This is not very nice, we should have a better
# ....relevancy measure instead
relevances = map(lambda (r, q, s): ((r - minr) / (maxr - minr), q, s),
relevances)
for (relevance, question, session) in relevances:
try:
record = QuestionSessionRelevance.objects.get(
question=question,
session=session, user=None)
except QuestionSessionRelevance.DoesNotExist:
record = QuestionSessionRelevance(relevance=relevance,
question=question,
session=session, user=None)
record.relevance = relevance
record.save()