问用python量化情感分析

EN

from nltk.sentiment.vader import SentimentIntensityAnalyzer as sia
sentences = ['This is the worst lunch I ever had!',
             'This is the best lunch I have ever had!!',
             'I don\'t like this lunch.',
             'I eat food for lunch.',
             'Red is a color.',
             'A really bad, horrible book, the plot was .']

hal = sia()
for sentence in sentences:
    print(sentence)
    ps = hal.polarity_scores(sentence)
    for k in sorted(ps):
        print('\t{}: {:>1.4}'.format(k, ps[k]), end='  ')
    print()

This is the worst lunch I ever had!
    compound: -0.6588   neg: 0.423      neu: 0.577      pos: 0.0  

from pycorenlp import StanfordCoreNLP
stanford = StanfordCoreNLP('http://localhost:9000')

for sentence in sentences:
    print(sentence)
    result = stanford.annotate(sentence,
                               properties={
                                'annotators': 'sentiment',
                                'outputFormat': 'json',
                                'timeout': '5000'
                               })
    for s in result['sentences']:
        score = (s['sentimentValue'], s['sentiment'])
    print(f'\tScore: {score[0]}, Value: {score[1]}')

This is the worst lunch I ever had!
    Score: 0, Value: Verynegative