def subeventpie():
"""子观点占比
"""
topic_name = request.args.get('query', default_topic_name) # 话题名
# topic_name = u'APEC2014-微博'
topicid = em.getEventIDByName(topic_name)
eventcomment = EventComments(topicid)
comments = eventcomment.getAllNewsComments()
cluster_ratio = dict()
for comment in comments:
if 'clusterid' in comment:
clusterid = comment['clusterid']
try:
cluster_ratio[clusterid] += 1
except KeyError:
cluster_ratio[clusterid] = 1
results = dict()
total_count = sum(cluster_ratio.values())
for clusterid, ratio in cluster_ratio.iteritems():
feature = eventcomment.get_feature_words(clusterid)
if feature and len(feature):
results[','.join(feature[:3])] = float(ratio) / float(total_count)
return json.dumps(results)
def ratio():
"""子观点占比
"""
topic_name = request.args.get('query', default_topic_name) # 话题名
news_id = request.args.get('news_id', default_news_id)
topicid = em.getEventIDByName(topic_name)
eventcomment = EventComments(topicid)
comments = eventcomment.getNewsComments(news_id)
cluster_ratio = dict()
for comment in comments:
if 'clusterid' in comment:
clusterid = comment['clusterid']
try:
cluster_ratio[clusterid] += 1
except KeyError:
cluster_ratio[clusterid] = 1
results = dict()
total_count = sum(cluster_ratio.values())
for clusterid, ratio in cluster_ratio.iteritems():
feature = eventcomment.get_feature_words(clusterid)
if feature and len(feature):
results[','.join(feature[:3])] = float(ratio) / float(total_count)
return json.dumps(results)
def keywords():
"""关键词
"""
topic_name = request.args.get('query', default_topic_name) # 话题名
news_id = request.args.get('news_id', default_news_id)
topicid = em.getEventIDByName(topic_name)
eventcomment = EventComments(topicid)
clusterids = eventcomment.get_cluster_ids(news_id)
results = dict()
for clusterid in clusterids:
fwords = eventcomment.get_feature_words(clusterid)
results[clusterid] = [fwords[:5], fwords]
return json.dumps(results)
def keywords():
"""关键词
"""
topic_name = request.args.get('query', default_topic_name) # 话题名
news_id = request.args.get('news_id', default_news_id)
topicid = em.getEventIDByName(topic_name)
eventcomment = EventComments(topicid)
clusterids = eventcomment.get_cluster_ids(news_id)
results = dict()
for clusterid in clusterids:
fwords = eventcomment.get_feature_words(clusterid)
results[clusterid] = [fwords[:5], fwords]
return json.dumps(results)
def cluster():
"""展现聚类结果
"""
topic_name = request.args.get('query', default_topic_name) # 话题名
news_id = request.args.get('news_id', default_news_id)
sort_by = request.args.get('sort', 'weight')
topicid = em.getEventIDByName(topic_name)
eventcomment = EventComments(topicid)
comments = eventcomment.getNewsComments(news_id)
cluster_results = dict()
for comment in comments:
if 'clusterid' in comment:
clusterid = comment['clusterid']
try:
cluster_results[clusterid].append(comment)
except KeyError:
cluster_results[clusterid] = [comment]
'''
sentiment_dict = dict()
for clusterid, comments in cluster_results.iteritems():
positive = 0
negative = 0
for c in comments:
if c['sentiment'] == 1:
positive += 1
if c['sentiment'] in [2, 3]:
negative += 1
sentiment_dict[clusterid] = u'(积极：' + str(positive) + ',' + u'消极：' + str(negative) + ')'
'''
results = dict()
for clusterid in cluster_results:
feature = eventcomment.get_feature_words(clusterid)
if feature and len(feature):
cluster_results[clusterid].sort(key=lambda c: c[sort_by],
reverse=True)
results[clusterid] = [
','.join(feature[:5]), cluster_results[clusterid]
]
return json.dumps(results)
def cluster():
"""展现聚类结果
"""
topic_name = request.args.get('query', default_topic_name) # 话题名
news_id = request.args.get('news_id', default_news_id)
sort_by = request.args.get('sort', 'weight')
topicid = em.getEventIDByName(topic_name)
eventcomment = EventComments(topicid)
comments = eventcomment.getNewsComments(news_id)
cluster_results = dict()
for comment in comments:
if 'clusterid' in comment:
clusterid = comment['clusterid']
try:
cluster_results[clusterid].append(comment)
except KeyError:
cluster_results[clusterid] = [comment]
'''
sentiment_dict = dict()
for clusterid, comments in cluster_results.iteritems():
positive = 0
negative = 0
for c in comments:
if c['sentiment'] == 1:
positive += 1
if c['sentiment'] in [2, 3]:
negative += 1
sentiment_dict[clusterid] = u'(积极：' + str(positive) + ',' + u'消极：' + str(negative) + ')'
'''
results = dict()
for clusterid in cluster_results:
feature = eventcomment.get_feature_words(clusterid)
if feature and len(feature):
cluster_results[clusterid].sort(key=lambda c: c[sort_by], reverse=True)
results[clusterid] = [','.join(feature[:5]), cluster_results[clusterid]]
return json.dumps(results)
