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python - TypeError: must be str, not list

the problem is output result is not save in csv file. I'm using this code to weight-age the words positive and negative.I want to save in the csv file.Firstly, read the csv file ,apply tf-idf and output display on shell,but error disply when result write in csv file.

for i, blob in enumerate(bloblist):
    print("Top words in document {}".format(i + 1))
    scores = {word: tfidf(word, blob, bloblist) for word in blob.words}
    sorted_words = sorted(scores.items(), reverse=True)
    print(sorted_words)
    final = open("tfidf.csv", "w").write(sorted_words)
    print(final)
    print("done")

The error is:

   Top words in document 1
   Traceback (most recent call last):
   File "C:Python34webcrawler-Final.py", line 38, in <module>
   final = open("tfidf.csv", "w").write(sorted_words)
   TypeError: must be str, not list
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Try to this.

sorted_words = ''.join(sorted(scores.items(), reverse=True))

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