使用python进行文本搜索 [英] Text search using python

问题描述

我正在研究一个文本搜索项目，并使用文本blob从文本中搜索句子. TextBlob有效地提取所有带有关键字的句子.但是，为了进行有效的研究，我也想删掉一句话，而在此之后我无法弄清楚.

I am working on a text search project, and using text blob to search for sentences from text. TextBlob pulls all the sentences with the keywords efficiently. However for effective research i also want to pull out one sentence before and one after which I am unable to figure.

以下是我正在使用的代码:

Below is the code I am using:

def extraxt_sents(Text,word):
    search_words = set(word.split(','))
        sents = ''.join([s.lower() for s in Text])
        blob = TextBlob(sents)
    matches = [str(s) for s in blob.sentences if search_words & set(s.words)]
    print search_words
    print(matches)

推荐答案

如果要获取比赛前后的行，则可以创建循环并记住前一行，或者使用

If you want to get the lines before and after the match, you can either create a loop and memorize the previous line, or use slices, like [from:to] on the blob.sentences list.

最好的方法可能是使用 enumerate bultin功能.

The best way might be to use the enumerate bultin function.

match_region = [map(str, blob.sentences[i-1:i+2])     # from prev to after next
                for i, s in enumerate(blob.sentences) # i is index, e is element
                if search_words & set(s.words)]       # same as your condition

在这里，blob.sentences[i-1:i+2]将提取从索引i-1(包括)到索引i+2(不包括)的子列表，然后map将该列表中的元素转换为字符串.

Here, blob.sentences[i-1:i+2] will extract the sublist spanning from index i-1 (inclusive) to index i+2 (exclusive), and map turns the elements in this list into strings.

注意:实际上，您可能希望将i-1替换为max(0, i-1)；否则，i-1可能是-1，Python会将其解释为最后一个元素，从而产生一个空切片.另一方面，如果i+2大于列表的长度，则不会有问题.

Note: Actually, you might want to replace i-1 with max(0, i-1); otherwise i-1 could be -1 and Python would interpret this as the last element, yielding an empty slice. If i+2 is higher than the list's length, on the other hand, this will not be a problem.

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