def twitgraph(request):
bayesname = 'bayesdata'
srch = 'happy'
tag = 'n'
c = BayesianClassifier()
if not memcache.get('bayesdata'):
c.save() #laod form local file system
c.load() #load picke from memecache
'''q=request.get_all("q")'''
if (request.GET.has_key('q')):
srch = request.GET['q']
tag = c.classify(srch)
html = "<html><body>sentiment is %s </body></html>" % tag
#return HttpResponse(html)
gv = globvars
context = {'thispage': 'Sentiment', 'the_tweet': srch, 'sentmnt': tag}
context = dict(context, **gv.context)
return render_to_response('sentiment.html', context)
def twitgraph(request):
bayesname='bayesdata'
srch = 'happy'
tag = 'n'
c = BayesianClassifier()
if not memcache.get('bayesdata'):
c.save()#laod form local file system
c.load()#load picke from memecache
'''q=request.get_all("q")'''
if(request.GET.has_key('q')):
srch = request.GET['q']
tag = c.classify(srch)
html = "<html><body>sentiment is %s </body></html>" % tag
#return HttpResponse(html)
gv = globvars
context = {
'thispage':'Sentiment',
'the_tweet':srch,
'sentmnt':tag
}
context = dict(context, **gv.context)
return render_to_response('sentiment.html', context)
