Created
November 30, 2011 17:05
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# -*- coding:utf-8 -*- | |
import MeCab | |
import json | |
import urllib2 | |
import re | |
import time | |
# --- Define | |
mecab = MeCab.Tagger("mecabrc") | |
words = {} | |
result = [] | |
# --- Read Page | |
def MecabRead(data): | |
for page in data[u'results']: | |
node = None | |
if re.compile('RT').match(page[u'text'].encode('utf-8')) == None: | |
result.append(page[u'text'].encode('utf-8')) | |
while node: | |
word = node.surface | |
if node.posid >= 36 and node.posid <= 67: | |
if not words.has_key(word): | |
words[word] = 0 | |
words[word] += 1 | |
node = node.next | |
def main(): | |
file_path = "FIXME" | |
result_file_path = "FIXME" | |
for keys in open(file_path).read().split("\n"): | |
try: | |
key,val = keys.split(" ") | |
words[key] = int(val) | |
except ValueError: | |
pass | |
for p in range(1,15): | |
data = json.load(urllib2.urlopen("http://search.twitter.com/search.json?q=%E3%82%BB%E3%83%83%E3%82%AF%E3%82%B9&callback=?&page=" + str(p))) | |
MecabRead(data) | |
f = open(file_path,"w") | |
for word,count in sorted(words.items(),key = lambda x:x[1]): | |
f.write("%s %i\n" % (word,count)) | |
f.close() | |
r = open(result_file_path,"a") | |
for s in result: | |
r.write(s + "\n") | |
r.close() | |
if __name__ == "__main__": | |
main() |
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