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")