触发词

Question

我有以下课程方法：

class Trigger():

    def getRidOfTrashPerSentence(self, line, stopwords):
        countWord = 0
        words = line.split()
        for word in words:
            if countWord == 0:
                if word in stopwords:
                    sep = word
                    lineNew = line.split(sep, 1)[0]
                    countWord = countWord + 1
                    return(lineNew)

    stopwords = ['regards', 'Regards']

    def getRidOfTrash(self, aTranscript):
        result = [self.getRidOfTrashPerSentence(line, self.stopwords) for  line in aTranscript]
        return(result)

我想要实现的是在['regards', 'Regards']

之类的某些触发词之后删除句子中的“垃圾”

所以当我插入这样的块时：

aTranScript = [ "That's fine, regards Henk", "Allright great"]

我正在寻找这样的输出：

aTranScript = [ "That's fine, regards", "Allright great"]

然而，当我这样做时：

newFile = Trigger()
newContent = newFile.getRidOfTrash(aTranScript)

我只获得"That's fine"。

关于如何获得两个字符串的任何想法

Answer 1

这是一个简单的解决方案：

cardview

此代码将返回：＆＃39;您好，很好＆＃39;

如果你愿意，你可以联系＆＃39;问候＆＃39;最后：

yourString.split（＆＃39;，问候＆＃39;）[0] +＆＃39;，问候＆＃39;

Answer 2

正则表达式使更换更容易。作为奖励，它不区分大小写，因此您不必在列表中写下'regards'和'Regards'：

import re

stop_words = ['regards', 'cheers']

def remove_text_after_stopwords(text, stop_words):
    pattern = "(%s).*$" % '|'.join(stop_words)
    remove_trash = re.compile(pattern, re.IGNORECASE)
    return re.sub(remove_trash, '\g<1>', text)

print remove_text_after_stopwords("That's fine, regards, Henk", stop_words)
# That's fine, regards
print remove_text_after_stopwords("Good, cheers! Paul", stop_words)
# Good, cheers
print remove_text_after_stopwords("No stop word here", stop_words)
# No stop word here

如果你有一个字符串列表，你可以使用列表推导将这个方法应用于每个字符串。

Answer 3

如果前一个单词是一个停用词，您可以扫描该行中的单词并将其删除：

class Trigger():

    stopwords = ['regards', 'Regards']

    def getRidOfTrashPerSentence(self, line):
        words = line.split()
        new_words = [words[0]]
        for i in range(1, len(words)):
            if not words[i-1] in self.stopwords:
                new_words.append(words[i])
        return " ".join(new_words)  # reconstruct line

    def getRidOfTrash(self, aTranscript):
        result = [self.getRidOfTrashPerSentence(line) for line in aTranscript]
        return(result)

aTranScript = [ "That's fine, regards Henk", "Allright great"]
newFile = Trigger()
newContent = newFile.getRidOfTrash(aTranScript)
print(newContent)