Python 对Twitter中指定话题的Tweet基本元素的频谱分析

#!/usr/bin/python
# -*- coding: utf-8 -*-

'''
Created on 2014-7-9
@author: guaguastd
@name: entities_frequency_map.py
'''

if __name__ == '__main__':

# import Counter
from collections import Counter

# import visualize
from visualize import visualize_frequency_map

# pip install prettytable
# from prettytable import PrettyTable

# import search
from search import search_for_tweet

# import login, see http://blog.csdn.net/guaguastd/article/details/31706155 from login import twitter_login

# get the twitter access api
twitter_api = twitter_login()

# import tweet
from tweet import extract_tweet_entities

while 1:
query = raw_input('\nInput the query (eg. #MentionSomeoneImportantForYou, exit to quit): ')

if query == 'exit':
print 'Successfully exit!'
break

statuses = search_for_tweet(twitter_api, query)
status_texts,screen_names,hashtags,words = extract_tweet_entities(statuses)

for label, data in (('Word', words),
('Screen Name', screen_names),
('Hashtag', hashtags)):
# Build a frequency map for each set of data and plot the values
c = Counter(data)
sTitle = label
xLabel = "Bins (number of times an item appeared)"
yLabel = "Number of items in bin"
visualize_frequency_map(c.values(), sTitle, xLabel, yLabel)