def topicModelLSI(self,twits, keyword):
'''
irrespc of collection fetch the pratenId=1 tweets and merge them together with the curreent tweets from twitter AJX call
then run topic modeling
'''
topicModelObj = topicModel.topicModel(twits)
dictionary = topicModelObj.createDictionary(keyword)
corpus = []
for vector in topicModelObj:
corpus.append(vector)
#print(corpus)
return topicModelObj.createLSIModel(corpus,'',keyword)
def topicModelLSI(self,twits, keyword):
'''
irrespc of collection fetch the pratenId=1 tweets and merge them together with the curreent tweets from twitter AJX call
then run topic modeling
'''
topicModelObj = topicModel.topicModel(twits)
dictionary = topicModelObj.createDictionary(keyword)
corpus = []
for vector in topicModelObj:
corpus.append(vector)
if len(corpus):
return topicModelObj.createLSIModel(corpus,'',keyword)
else:
return 0
def posAnalysis(self, twits):
topicModelObj = topicModel.topicModel(twits)
topicModelObj.tryPos()
def posAnalysis(self, twits):
topicModelObj = topicModel.topicModel(twits)
topicModelObj.tryPos()
