NLP情感分析：“列表”对象没有属性“情感”

Question

对于当前的项目，我计划使用TextBlob对许多单词组合进行情感分析。

当运行情感分析线polarity = common_words.sentiment.polarity并使用打印(I、word、freq、极性)调用结果时，我将收到以下错误消息：

polarity = common_words.sentiment.polarity
AttributeError: 'list' object has no attribute 'sentiment'

有什么聪明的调整来让它运行吗？相应的代码部分如下所示：

for i in ['Text_Pro','Text_Con','Text_Main']:
    common_words = get_top_n_trigram(df[i], 150)
    polarity = common_words.sentiment.polarity
    for word, freq in common_words:
        print(i, word, freq, polarity)

编辑:请在下面找到这一情况的完整解决方案(根据与用户豹的讨论)：

for i in ['Text_Pro','Text_Con','Text_Main']:
    common_words = str(get_top_n_trigram(df[i], 150))
    polarity_list = str([TextBlob(i).sentiment.polarity for i in common_words])
    for element in polarity_list:
        print(i, element)
    for word, freq in common_words:
        print(i, word, freq)

Answer 1

似乎您正在尝试在列表上使用TextBlob调用，而不是TextBlob对象。

for i in ['Text_Pro','Text_Con','Text_Main']:
    common_words = get_top_n_trigram(df[i], 150)
    # Not sure what is in common_words, but it needs to be a string
    polarity = TextBlob(common_words).sentiment.polarity
    for word, freq in common_words:
        print(i, word, freq, polarity)

如果common_words是一个列表，您可能需要添加：

polarity_list = [TextBlob(i).sentiment.polarity for i in common_words]

可能的复制粘贴解决方案：

for i in ['Text_Pro','Text_Con','Text_Main']:
    common_words = get_top_n_trigram(df[i], 150)
    polarity_list = [TextBlob(i).sentiment.polarity for i in common_words]
    for element in polarity_list:
        print(i, element)