NLTKpolarity_scores

问题描述

我想知道我是否可以让 Sentimentia.polarity_scores() 函数只打印负数，只打印正数，我可以摆脱中性和复合结果

    i = 0
    while i < len(Replaced_Data):
        Sentimentia = SentimentIntensityAnalyzer()
        print(Sentimentia.polarity_scores(data['Clean_TweetText'][i]))
        i = i + 1

output >>> {'neg': 0.214,'neu': 0.534,'pos': 0.252,'compound': 0.25}

desired output >>> {'neg': 0.214,'pos': 0.188}

解决方法

可以使用 Dictionary Comprehensions

从字典中过滤 'neg' 和 'pos'

ss = Sentimentia.polarity_scores(data['Clean_TweetText'][i])     
print({e:ss[e] for e in ss if e in ['neg','pos']})