f=open('test.txt','a+',encoding='utf-8')
for index,row in cxzg.iterrows():
    text=str(row['text'])
    text=text.encode('gb18030','ignore').decode('gbk','ignore')
    qgdict=client.sentimentClassify(text)
    if 'items' in qgdict:
        qg=qgdict['items'][0]
        qgsen=qg["sentiment"]
        qgcf=qg["confidence"]
        qgpp=qg["positive_prob"]
        qgnp=qg["negative_prob"]
        print(index,row['cid'],row['data'],row['userid'],row['miaoshu'],qgsen,qgcf,qgpp,qgnp,';',text,file=f)
        print(index)
f.close()

 

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