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)