def main():
tweets = twt.make_tweets(raw_input('Enter tweet file name: '))
filename = raw_input('Please enter the file name where you want to '\
+ 'write this information: ')
twt.write_tweets(tweets, filename)
print 'Making sentiment dictionary for you...'
sentiment = twt.make_sentiments(raw_input('enter sentiments file name: '))
print 'Please be patient,adding sentiment values to ',filename, ' ...'
names = twt.read_add_sentiments(filename, sentiment)
print 'Enter a file name where you want the tweets with sentiments'
file_out = raw_input('Enter the name of the output file: ')
twt.write_filtered_tweets(names, file_out)
print'The avg sentiment for this file is'
print twt.avg_sentiment(names)
def main():
"""Tests tweet sentiment compiler code in tweets.py"""
print("\nParsing file and creating tweet dictionaries...")
# inFile = some_tweets
tweets = t.make_tweet(some_tweets)
# list of tweet dictionaries that include avg sentiment
# DOES NOT CREATE NEW LIST OF TWEET DICTIONARIES
print("Adding sentiments...\n")
t.add_sentiment(tweets, sentiment_file)
# call function to create file of tweets with sentiments
file = t.pass_tweets(tweets)
# new list of rebuilt tweet dictionaries
print("Rebuilding tweets...")
new_tweets = t.rebuild_tweets(created_tweets)
# verify successful rebuilding
if new_tweets == tweets:
print(file + "\n")
# filters list of tweets according to desired word inputs
filter_tweets = t.tweet_filter(tweets, *args)
# !!!-UNCOMMENT TO SEE FILTERED TWEETS-!!!
# pp.pprint([tweet["text"] for tweet in filter_tweets])
# returns average sentiment of filtered list of tweets
avg_sentiment = t.avg_sentiment(filter_tweets)
if avg_sentiment != None:
print("The average sentiment for tweets with these filtered words is: "
"%s." % avg_sentiment)
else:
print("The tweets with these filtered words either have no sentiment "
"or don't exist.")
