Python 可视化Twitter中指定话题中Tweet的词汇频率

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

'''
Created on 2014-7-8
@author: guaguastd
@name: plot_frequencies_words.py
'''

if __name__ == '__main__':
#import json

# import Counter
from collections import Counter

# import search
from search import search_for_tweet

# import visualize
from visualize import visualize_for_frequencies

# 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)

word_counts = sorted(Counter(words).values(), reverse=True)
visualize_for_frequencies(word_counts, "Word Rank", "Freq")

Input the query (eg. #MentionSomeoneImportantForYou, exit to quit): #MentionSomeoneImportantForYou
Length of statuses 100
Length of statuses 196