Python 对Twitter中指定话题的Tweet基本元素的频谱分析

CODE:

#!/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)

RESULT: