#英文情感分析 textblob from textblob import TextBlob import nltk text = 'I am so happy. I am so sad.' blob = TextBlob(text) print(blob) print(blob.sentences) print(blob.sentences[0].sentiment) print(blob.sentences[1].sentiment) print(blob.sentiment) #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)
I am so happy. I am so sad.
[Sentence(“I am so happy.”), Sentence(“I am so sad.”)]
Sentiment(polarity=0.8, subjectivity=1.0)
Sentiment(polarity=-0.5, subjectivity=1.0)
Sentiment(polarity=0.15000000000000002, subjectivity=1.0)
我很高兴啊
我很难过
0.6732684101105153
0.847689058310992
英文情感分析textblob识别文本正面或者负面,一般区间是-1~1
中文情感分析snownlp的结果很诧异,自带语料库中的准确率可见一斑,“我很难过”这句话有84%的概率是正面情感,OH~~~