def bjp_inc(request):
'''
...test1 = pd.read_csv("/home/sumeet/Desktop/DATATEST/BJP/bjpt.csv")
test1['pol'] = test1['Text'].apply(sentiment_func)
test1['sentiment'] = test1['pol'].apply(polarity_func)
targets_test1 = test1.sentiment.apply(sentiment2target)
X_train, X_test1, y_train, y_test = getTrainingAndTestDataBJP(targets_test1)
X_test1 = processTweets( X_test1)
#x=clf.score(X_test,y_test)
y_pred1 = clf.predict(X_test1)
test1['Predictions']=y_pred1
neg_c1=test1.loc[test1.Predictions == -1, 'Predictions'].count()
pos_c1=test1.loc[test1.Predictions == 1, 'Predictions'].count()
neu_c1=test1.loc[test1.Predictions == 0, 'Predictions'].count()
test2 = pd.read_csv("/home/sumeet/Desktop/DATATEST/CONGRESS/congt.csv")
test2['pol'] = test2['Text'].apply(sentiment_func)
test2['sentiment'] = test2['pol'].apply(polarity_func)
targets_test2 = test2.sentiment.apply(sentiment2target)
X_train, X_test2, y_train, y_test = getTrainingAndTestDataCON(targets_test2)
X_test2 = processTweets( X_test2)
#x=clf.score(X_test,y_test)
y_pred2 = clf.predict(X_test2)
test2['Predictions']=y_pred2
neg_c2=test2.loc[test2.Predictions == -1, 'Predictions'].count()
pos_c2=test2.loc[test2.Predictions == 1, 'Predictions'].count()
neu_c2=test2.loc[test2.Predictions == 0, 'Predictions'].count()
plot(neu_c1,neg_c1,pos_c1,neu_c2,neg_c2,pos_c2,"Bharatiya Janata Party","Indian National Congress")...
'''
neu_c1, neg_c1, pos_c1, neu_c2, neg_c2, pos_c2, pis1, nis1, pis2, nis2 = viewsshort(
1, 2)
posts = [{
'pos': pos_c1,
'neg': neg_c1,
'neu': neu_c1,
'pis': pis1,
'nis': nis1
}, {
'pos': pos_c2,
'neg': neg_c2,
'neu': neu_c2,
'pis': pis2,
'nis': nis2
}]
context = {'posts': posts}
return render(request, 'blog/res.html', context)
def bjp_ncp(request):
neu_c1, neg_c1, pos_c1, neu_c2, neg_c2, pos_c2, pis1, nis1, pis2, nis2 = viewsshort(
1, 3)
posts = [{
'pos': pos_c1,
'neg': neg_c1,
'neu': neu_c1,
'pis': pis1,
'nis': nis1
}, {
'pos': pos_c2,
'neg': neg_c2,
'neu': neu_c2,
'pis': pis2,
'nis': nis2
}]
context = {'posts': posts}
return render(request, 'blog/res.html', context)