def hist_fitted_subject(one, two, three):
plt.figure(figsize=(12, 7))
users = [one, two, three]
colors = ['red', 'green', 'blue']
for x in range(0, 3):
user_name = users[x]
file_name = handle_dict[user_name]
full_tweet_texts = text_extract(file_name)
polarity, subjectivity = pull_sentiment_polar_subjective(
full_tweet_texts)
array = np.array(subjectivity)
removed_zero = array[array != 0]
sns.distplot(removed_zero,
label=candidates[user_name],
color=colors[x])
plt.xlabel("Subjectivity")
plt.title("Subjectivity Curve Comparison\n {} vs {} vs {}".format(
candidates[sys.argv[1]], candidates[sys.argv[2]],
candidates[sys.argv[3]]))
plt.legend()
plt.show()
def provide_sentiment(user_name, about_trump):
if about_trump:
polarity, subjectivity = extract_about_trump(user_name)
else:
file_name = handle_dict[user_name]
full_tweets = text_extract(file_name)
polarity, subjectivity = pull_sentiment_polar_subjective(full_tweets)
return polarity, subjectivity
def get_topics_totals(user_name, topics): file_name = handle_dict[user_name] full_tweet_texts = text_extract(file_name) found = [] print(topics) for x in range(len(full_tweet_texts)): for topic in topics: if topic in full_tweet_texts[x]: found.append(full_tweet_texts[x]) break return len(found)
fontsize=6,
fontweight='heavy',
labelpad=0)
ax[row, column].tick_params(labelsize=6, pad=-4)
if __name__ == "__main__":
fig, ax = plt.subplots(2, 2, figsize=(12, 7))
cand = []
axis_coord = [[0, 0], [0, 1], [1, 0], [1, 1]]
color = ['red', 'green', 'blue', 'cyan', 'purple']
for x in range(1, len(sys.argv)):
user_name = sys.argv[x]
file_name = handle_dict[user_name]
cand.append(candidates[user_name])
full_tweet_texts = text_extract(file_name)
polarity, subjectivity = pull_sentiment_polar_subjective(
full_tweet_texts)
coordinates = axis_coord[x - 1]
plot_with_axes(coordinates[0],
coordinates[1],
subjectivity,
polarity,
color[x - 1],
label="All Tweets",
alpha=0.2)
#polarity, subjectivity = extract_about_trump(user_name)
#plot_with_axes(coordinates[0], coordinates[1], subjectivity,
# polarity, color[x], label="Talking about Trump", alpha=0.3)