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我开始使用 textblob (0.11) 和 python (2.7) 进行情绪分析程序。我正在从 twitter 获取推文并解码 json 以从推文中提取文本，然后将此文本输入到情绪分析代码中。该代码运行良好，但每次都将情绪输出为“pos”。对于许多明显负面的文本，程序将情绪显示为“Pos”

import tweepy
import json
import csv
import textblob
import unicodedata
from tweepy import Stream
from tweepy.streaming import StreamListener
from textblob.sentiments import NaiveBayesAnalyzer
import sys
consumer_key = ''
consumer_secret = ''
access_token = ''
access_token_secret = ''

class listener(StreamListener):

def on_data(self,data):
    decoded = json.loads(data)
   decoded=decoded['text']
    print decoded

   blob = textblob.TextBlob(decoded, analyzer=NaiveBayesAnalyzer())
    print (blob.sentiment)


def on_error(self,status):
    print status


if __name__ == '__main__':

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)

api = tweepy.API(auth)

def on_error(self,status):
    print status


twitterStream = Stream(auth,listener())

twitterStream.filter(track=["#Trend"])

请帮助

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