CODE:

#!/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")

RESULT:

Input the query (eg. #MentionSomeoneImportantForYou, exit to quit): #MentionSomeoneImportantForYou

Length of statuses 100

Length of statuses 196

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