def test_calculate_sentiment():
"""
tests calculate_tweet_sentiment
"""
tweet_dic = ts.create_sentiment_dictionary(open('AFINN-111.txt'))
tweet_list = ts.parse_tweets(open('problem_1_submission.txt'))
for tweet in tweet_list:
print(ts.calculate_tweet_sentiment(tweet, tweet_dic))
def result():
if 'username' not in session:
return render_template('login.jsp')
option = session['option']
n = session['topn']
if option == 1:
headers = ['HashTag', 'Frequency']
results = top_tags.calculate_top_tags(session['tweet_count'], n)
if not results:
return redirect(url_for('result'))
else:
return render_template('result.jsp', results=results, headers=headers)
elif option == 2:
headers = ['Word', 'Frequency']
results = top_terms.calculate_term_frequency(session['tweet_count'], n)
if not results:
return redirect(url_for('result'))
else:
return render_template('result.jsp', results=results, headers=headers)
elif option == 3:
headers = ['Tweet', 'Score']
results = tweet_sentiment.calculate_tweet_sentiment('resources/AFINN-111.txt', session['tweet_count'], n, 1)
if not results:
return redirect(url_for('result'))
else:
resp = make_response(render_template('result.jsp', results=results, headers=headers))
resp.headers['Content-Type'] = 'text/html; charset=utf-8'
return resp
elif option == 4:
headers = ['Tweet', 'Score']
results = tweet_sentiment.calculate_tweet_sentiment('resources/AFINN-111.txt', session['tweet_count'], n, -1)
if not results:
return redirect(url_for('result'))
else:
return render_template('result.jsp', results=results, headers=headers)
elif option == 5:
headers = ['State Code', 'State Name', 'Tweets', 'Score']
results = happiest_state.get_state_happiness('resources/AFINN-111.txt', session['tweet_count'])
if not results:
return redirect(url_for('result'))
else:
return render_template('result.jsp', results=results, headers=headers)