2015-12-15 31 views
0

我有一個由「 - >」分隔的userID和tweet文本的文本文件。我想將這些加載到字典中,然後迭代這些值,使用AlchemyAPI計算每條推文的情緒。 我輸入的數據與此類似(真正的文件擁有數百萬的記錄):KeyError:在Python中使用AlchemyAPI進行情感分析的'docSentiment'

v2cigs --> New #ecig #regulations in #Texas mean additional shipping charges for residents. https:\/\/t.co\/aN3O5UfGUM #vape #ecigs #vapeon #vaporizer 
JessyQuil --> FK SHIPPING I DON'T WANT TO WAIT TO BUY MY VAPE STUFF 
thebeeofficial --> #Lancashire welcomes latest #ECIG law READ MORE: https:\/\/t.co\/qv6foghaOL https:\/\/t.co\/vYiTAQ6VED 
2br --> #Lancashire welcomes latest #ECIG law READ MORE: https:\/\/t.co\/ghRWTxQy8r https:\/\/t.co\/dKh9TLkNRe 

我的代碼是:

import re 
from alchemyapi import AlchemyAPI 
alchemyapi = AlchemyAPI() 

outputFile = ("intermediate.txt", "w") 
tid = 1; #counter for keys in dictionary 
tdict = {} #dictionary to store tweet data 
with open("testData.txt", "r") as inputfile : 
    for lines in inputfile: 
     tweets = lines.split("-->")[1].lstrip() 
     tweets = re.sub("[^A-Za-z0-9#\s'[email protected]]+", '', tweets) 
     tdict[tid] = tweets.strip("\n") 
     tid+=1 

for k in tdict: 
    response = alchemyapi.sentiment("text", str(tdict[k])) 
    sentiment = response["docSentiment"]["type"] 
    print sentiment 

我收到錯誤:

sentiment = response["docSentiment"]["type"] 
KeyError: 'docSentiment' 

我不不明白我做錯了什麼。任何人都可以幫忙嗎?

+0

我不確定有什麼問題,但一個好的開始就是打印出「response」的內容來查看你回來的內容。可能由於某種原因,請求不起作用,並且響應可能包含有關出錯的信息。 –

回答

0

您需要在嘗試訪問密鑰之前檢查響應是否成功。

for k in tdict: 
    response = alchemyapi.sentiment("text", str(tdict[k])) 
    status = response.get('status') 
    if status == 'ERROR': 
     print(response['statusInfo']) 
    else: 
     print(response['docSentiment']['type'])