[英]Text Mining using tweepy
I have collected the tweets using tweepy api and i have tokenized them and removed the stopwords but when i load them using json it throws the following error 我已经使用tweepy api收集了tweet,并标记了它们并删除了停用词,但是当我使用json加载它们时,它会引发以下错误
"File "C:\Python27\Projects\kik.py", line 26, in <module>
tweet = json.loads(tokens)
File "C:\Python27\lib\json\__init__.py", line 338, in loads
return _default_decoder.decode(s)
File "C:\Python27\lib\json\decoder.py", line 366, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
TypeError: expected string or buffer"
Please help me out. 请帮帮我。
tweets_data_path = 'c:\\Python27\\Projects\\newstweets.txt'
stopset = set(stopwords.words('english'))
tweets_data = []
tweets_file = open(tweets_data_path, "r")
text = tweets_file.read()
tokens=word_tokenize(str(text))
tokens = [w for w in tokens if not w in stopset]
tweet = json.loads(tokens)
tweets_data.append(tweet)
json.loads
expects a string, you are trying to load a list. json.loads
需要一个字符串,您正在尝试加载列表。
Instead of: 代替:
tokens = [w for w in tokens if not w in stopset]
Try: 尝试:
tokens = str([w for w in tokens if not w in stopset])
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