# -*- coding: utf-8 -*-
from aip import AipNlp
import csv
import pandas as pd
from pandas.core.frame import DataFrame
APP_ID = '******'
API_KEY = '888888888'
SECRET_KEY = '88888888'
client = AipNlp(APP_ID, API_KEY, SECRET_KEY)
def output():
urls = []
with open('redio11.csv', "r") as f:
reader = csv.reader(f)
for row in reader:
urls.append(row[0])
return urls
def sentimentClassify():
x = output()
i = 1
pp=[]
np=[]
con=[]
sen=[]
all={}
for i in range(10640):
text = x[i]
result = client.sentimentClassify(text);
print(result)
if "error_code" in result.keys():
pp.append(" ")
np.append(" ")
con.append(" ")
sen.append(" ")
all['positive_prob'] =