python - 在 Python 中根据 Textblob 的极性获取正面和负面的单词(情感分析)

Question

我有一个文本 blob，其中如果极性 > 0，则将文本分类为正，如果 = 0，则将文本分类为中性，如果 < 0，则将文本分类为负。 我如何获得将其分类为积极、消极或中性的词语？

Answer 1

希望以下代码对您有所帮助:

from textblob import TextBlob
from textblob.sentiments import NaiveBayesAnalyzer
import nltk
nltk.download('movie_reviews')
nltk.download('punkt')

text          = "I feel the product is so good" 

sent          = TextBlob(text)
# The polarity score is a float within the range [-1.0, 1.0]
# where negative value indicates negative text and positive
# value indicates that the given text is positive.
polarity      = sent.sentiment.polarity
# The subjectivity is a float within the range [0.0, 1.0] where
# 0.0 is very objective and 1.0 is very subjective.
subjectivity  = sent.sentiment.subjectivity

sent          = TextBlob(text, analyzer = NaiveBayesAnalyzer())
classification= sent.sentiment.classification
positive      = sent.sentiment.p_pos
negative      = sent.sentiment.p_neg

print(polarity,subjectivity,classification,positive,negative)