python中英文文本情感分析

英文文本：

from textblob import TextBlob

def getText():
    txt = open('comment.text','r',encoding='utf-8').read()
    txt = txt.lower()
    for ch in '`~!@#$%^&*()_+-={}[];":,/<>?\|':
        txt = txt.replace(ch," ")
    return txt


text = getText()
blob = TextBlob(text)
print("每条评论单独的分析如下：")
for i in range(len(blob.sentences)):
    print(blob.sentences[i].sentiment)
print("所有评论的分析如下：")
print(blob.sentiment)

中文实例：

#中文情感分析SnowNLP
from snownlp import SnowNLP
text = u'我很高兴啊。 我很难过。'
s = SnowNLP(text)
for sentence in s.sentences:
    print(sentence)
s1 = SnowNLP(s.sentences[0])
s2 = SnowNLP(s.sentences[1])
print(s1.sentiments)
print(s2.sentiments)

结果：