NLP情感分析：“列表”对象没有属性“情感”

Question

对于当前项目，我计划使用TextBlob对许多单词组合进行情感分析。

运行情感分析行polarity = common_words.sentiment.polarity并使用print（i，word，freq，polarity）调用结果时，我收到以下错误消息：

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

是否有任何巧妙的调整来使它运行？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：请在下面找到完整的解决方案（根据与leopardxpreload用户的讨论）：

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

似乎您正在尝试使用列表中的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是列表，则可能需要添加：

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)