def index():
if request.method == 'POST':
positive_training_data_path = './data/positive_x'
negative_training_data_path = './data/negative_x'
positive_corpus = Corpus()
negative_corpus = Corpus()
positive_corpus.load_from_directory(positive_training_data_path)
negative_corpus.load_from_directory(negative_training_data_path)
classifier = Classifier(positive_corpus, negative_corpus)
classifying_output = classifier.classify(request.form['nicedit-message'])
return render_template('index.html', co=classifying_output)
return render_template('index.html')
from sentimental_analysis import Corpus
from sentimental_analysis import Classifier
positive_training_data_path = './data/positive_x'
negative_training_data_path = './data/negative_x'
positive_corpus = Corpus()
negative_corpus = Corpus()
positive_corpus.load_from_directory(positive_training_data_path)
negative_corpus.load_from_directory(negative_training_data_path)
classifier = Classifier(positive_corpus, negative_corpus)
# print classifier.classify("It is sunny today")
print classifier.classify("i'm in love with this thing")
