def setupDB(): for index in range(0, len(reviews)): review = m.Review(reviews[index]['id'], reviews[index]['text'], reviews[index]['stars'], s.indi_sentimentR(s.singularTokenize(reviews[index]['text']))) m.db.session.add(review) m.db.session.commit()
def setupDB():
for index in range(0, len(reviews)):
review = m.Review(
reviews[index]['id'], reviews[index]['text'],
reviews[index]['stars'],
s.indi_sentimentR(s.singularTokenize(reviews[index]['text'])))
m.db.session.add(review)
m.db.session.commit()
def receive_review_add():
review = request.form['review']
stars = request.form['stars']
length = len(m.Review.query.all())
sentiment = s.indi_sentimentR(s.singularTokenize(review))
reviewAdd = m.Review(length, review, stars, sentiment)
m.db.session.add(reviewAdd)
m.db.session.commit()
return ('', 202)
def receive_review_add():
review = request.form['review']
stars = request.form['stars']
length = len(m.Review.query.all())
sentiment = s.indi_sentimentR(s.singularTokenize(review))
reviewAdd = m.Review(length, review, stars, sentiment)
m.db.session.add(reviewAdd)
m.db.session.commit()
return ('', 202)
def review_prediction(review): sent_tok = s.singularTokenize(review) average = s.indi_sentimentR(sent_tok) return s.predictor(average)
def review_prediction(review):
sent_tok = s.singularTokenize(review)
average = s.indi_sentimentR(sent_tok)
return s.predictor(average)