Python 将标记化单词列表与一组单词进行比较

我想知道评论是否与主题相关，所以我建立了一套与主题相关的词汇

effi_set = {"reminders","medication", "Alarm"
"diet", "carbohydrate","nutrition","weight","IBM", "sport", "activity", "fitbit","blood","insulin",
"Hb1ac" , "data exportation","feedback", "monitoring","recording ","monitor", "record",
"passwords","security","backup","protection",
"information","education","complication","risk","prevent","contact","consultation",
"facebook","twitter","social media","mail","FAQ","doctor",
"data","offline","language","location","region","country",
"devise","glucometer","bluetooth","automation","carb","barcode","food","syncronize","PHR","import"}

我将每个评论标记化，以将标记化的单词与主题集进行比较

for line in df["content"]:
    tokenized_words =word_tokenize(line)
    for item in tokenized_words:
        if item not in effi_set:
            df["efficient"] = False
        else:
            df["efficient"] = True

结果是所有的评论都是假的，但事实并非如此。

df[“高效”]=false

将显示整个列

您必须一次修改一行

df["efficient"] = False
for index, line in df["content"].iteritems():
    tokenized_words =word_tokenize(line)
    for item in tokenized_words:
        if item in effi_set:
            df.at[index, "efficient"] = True
            continue

---

如果您只是用

df[“effective”]=false

更新布尔指示符，您怎么知道

that all reviews all false

？df.head（）df.to_csv（“Final_comments.csv”，index=false）不起作用类型错误：预期的字符串或字节，如objectEdited！忘记了循环中的

索引

，但结果是相同的，有效列都是FalsOK。你的代码应该做什么？如果在

effi\u集合

中只找到一个标记化的单词，那么effic应该是

True

？因为这里它保持循环，所以如果未找到

标记化\u单词

的最后一个元素，当在effi\u集中发现至少一个标记化\u单词时，它会将

efficient

设置为Falseya efficient True，因此一旦他发现一个单词集efficient为True，并执行下一个标记化\u单词列表